Databases or Datasets for Computer Vision Applications and Testing
Generally, to avoid confusion, in this bibliography, the word database is used for database systems or research and would apply to image database query techniques rather than a database containing images for use in specific applications. I have chosen to use dataset to describe collections of images used by researchers in some domain. In the past test data was difficult, but the advent of modern digital cameras has simplified acquiring data. But in order to test and especially compare algorithms, a common dataset is essential.
Test data is available in bits and pieces and in several larger repositories, These listed datasets are selected from the references in the Computer Vision Bibliography. There are other datasets and often older ones get removed from web sites. The links on the Author and Journal references in the list point to entries in that database. Current research and applications are highlighted in various Computer Vision and Image Processing Conferences. Some of these have evaluation sessions with related datasets.
Computer Vision resources include:
- Computer Vision Conference Listing
- Code for Computer Vision Algorithms
- Available Datasets
- Computer Vision Topical Surveys
- Vendors. These may also have related research groups.
- Research Groups
- Researchers within Research Groups and Researchers with unlisted groups
- Browse Papers by Author Name
- Professional Societies
For more information on the topics, contact information, etc. see the annotated Computer Vision Bibliography or the Complete Conference Listing for Computer Vision and Image Analysis
Detailed Entries for Dataset
Khosla, A.[Aditya], Raju, A.S.[Akhil S.], Torralba, A.B.[Antonio B.], Oliva, A.[Aude],Understanding and Predicting Image Memorability at a Large Scale,
ICCV15(2390-2398)
IEEE DOI
Dataset, Memorability.
WWW Link. Benchmark testing
Barnard, K.[Kobus], and Funt, B.V.[Brian V.],
Camera characterization for color research,
ColorRes(27), No. 3, 2002, pp. 153-164.
PDF File. Dataset, Color Calibration.
WWW Link.
Huang, X.Y.[Xin-Yu], Wang, P.[Peng], Cheng, X.J.[Xin-Jing], Zhou, D.F.[Ding-Fu], Geng, Q.C.[Qi-Chuan], Yang, R.G.[Rui-Gang],
The ApolloScape Open Dataset for Autonomous Driving and Its Application,
PAMI(42), No. 10, October 2020, pp. 2702-2719.
IEEE DOI
Dataset, Autonomous Driving. Semantics, Task analysis, Videos, Labeling, Image segmentation, 3D understanding
UZH-FPV Drone Racing Dataset,
2019.
HTML Version. Dataset, Visual Odometry. 28 real-world sequences where a quadrotor controlled in first-person view.
See also Are We Ready for Autonomous Drone Racing? The UZH-FPV Drone Racing Dataset.
Zendel, O.[Oliver], Honauer, K.[Katrin], Murschitz, M.[Markus], Steininger, D.[Daniel], Domínguez, G.F.[Gustavo Fernández],
WildDash: Creating Hazard-Aware Benchmarks,
ECCV18(VI: 407-421).
Springer DOI
Dataset, Highway Hazards. Driving hazards.
Dev Roy, S., Kanti Bhowmik, M., Oakley, J.,
A Ground Truth Annotated Video Dataset for Moving Object Detection in Degraded Atmospheric Outdoor Scenes,
ICIP18(1318-1322)
IEEE DOI
Dataset, Object Detection. Object detection, Lighting, Meteorology, Cameras, Image restoration, Streaming media, Atmospheric measurements, Image Enhancement
Codevilla, F., Santana, E., Lopez, A., Gaidon, A.,
Exploring the Limitations of Behavior Cloning for Autonomous Driving,
ICCV19(9328-9337)
IEEE DOI
Dataset, Driver Behavior.
WWW Link. behavioural sciences computing, learning (artificial intelligence), neural nets, Vehicle dynamics
Lee, G.H.[Gim Hee], Achtelik, M., Fraundorfer, F., Pollefeys, M., Siegwart, R.,
A benchmarking tool for MAV visual pose estimation,
ICARCV10(1541-1546).
IEEE DOI
Dataset, SLAM. Large scale SLAM dataset with more sensors. For UAV algorithm evaluations.
Ji, R.R.[Rong-Rong], Duan, L.Y.[Ling-Yu], Chen, J.[Jie], Yang, S.[Shuang], Huang, T.J.[Tie-Jun], Yao, H.X.[Hong-Xun], Gao, W.[Wen],
PKUBench: A context rich mobile visual search benchmark,
ICIP11(2545-2548).
IEEE DOI
Dataset, Landmarks. Landmark search aided by GPS.
Winkens, C., Sattler, F., Adams, V., Paulus, D.,
HyKo: A Spectral Dataset for Scene Understanding,
CVRoads17(254-261)
IEEE DOI
Dataset, Roads. Autonomous vehicles, Cameras, Hypercubes, Hyperspectral imaging, Image color analysis, Sensors
Schmidt, A.[Adam], Fularz, M.[Michal], Kraft, M.[Marek], Kasinski, A.[Andrzej], Nowicki, M.[Michal],
An Indoor RGB-D Dataset for the Evaluation of Robot Navigation Algorithms,
ACIVS13(321-329).
Springer DOI
Dataset, Navigation.
Swedish Trafic Signs,
Online2010
WWW Link. Dataset, Traffic Signs.
Challenging Unreal and Real Environments for Traffic Sign Detection and Recognition,
Online2017 CURE-TSD and CURE-TSR
WWW Link.
WWW Link. Dataset, Traffic Signs. Dataset, CURE-TSR. Dataset, CURE-TSD. Real-world and synthesized video sequences with challenging conditions. In total, there are 5,733 video sequences and around 1.72 million frames.
CMU VASC Image Database,
Online1997
WWW Link. Dataset, Motion. CMU has a collection of image datasets available. These include a number of motion sequences, stereo (with and without ground truth), faces and expressions, and cars.
PEIPA Computer Vision Software,
Online2004.
HTML Version. Code, Computer Vision. Dataset. Pilot European Image Processing Archive. This lists a number of sources for various alogrithms. They also include pointers to the usual set of image databases.
BBC Motion Gallery,
Video data. Online2004
WWW Link. Video clips, including rights managed and production ready royalty-free footage. Available to preview, purchase and download. Dataset, Retrieval. Dataset, Video.
Large Scale Dataset for Cross-Model Multimedia Analysis,
2013.
HTML Version. Dataset, Image Retrieval. Dataset, Text Retrieval.
See also Large Scale Video Database.
Shirahatti, N.V.[Nikhil V.], Barnard, K.[Kobus],
Evaluating Image Retrieval,
CVPR05(I: 955-961).
IEEE DOI
HTML Version.
Code, Image Retrieval. Dataset, Image Retrieval.
Duygulu, P., Barnard, K., de Freitas, J.F.G., Forsyth, D.A.,
Object Recognition as Machine Translation: Learning a Lexicon for a Fixed Image Vocabulary,
ECCV02(IV: 97 ff.). Award, ECCV, Cognitive Vision.
Springer DOI
HTML Version.
Dataset, Object Recognition.
Murray, N.[Naila], Marchesotti, L.[Luca], Perronnin, F.[Florent],
Learning to rank images using semantic and aesthetic labels,
BMVC12(110).
DOI Link
Earlier:
AVA: A large-scale database for aesthetic visual analysis,
CVPR12(2408-2415).
IEEE DOI
Dataset, Aesthetic Analysis.
Visual7W visual question answering,
Large-scale visual question answering (QA) dataset, with object-level groundings and multimodal answers. WWW Link.
Dataset, Visual Question Answering.
Visual Genome,
Visual Genome is a dataset, a knowledge base, an ongoing effort to connect structured image concepts to language. WWW Link.
WWW Link. Dataset, Visual Question Answering.
Johnson, J.[Justin], Hariharan, B.[Bharath], van der Maaten, L.[Laurens], Hoffman, J., Fei-Fei, L.[Li], Zitnick, C.L.[C. Lawrence], Girshick, R.[Ross],
Inferring and Executing Programs for Visual Reasoning,
ICCV17(3008-3017)
IEEE DOI
Earlier: A1, A2, A3, A5, A6, A7, Only:
CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning,
CVPR17(1988-1997)
IEEE DOI
Dataset, Visual Reasoning.
WWW Link. backpropagation, image matching, learning (artificial intelligence), neural nets, Visualization. Cognition, Image color analysis, Metals, Semantics, Shape.
UT Zappos50K,
Dataset, Shoes.
WWW Link.
University of Texas shoe dataset. 50,025 images.
Xiao, J.X.[Jian-Xiong], Hays, J.[James], Ehinger, K.A.[Krista A.], Oliva, A.[Aude], Torralba, A.B.[Antonio B.],
SUN database: Large-scale scene recognition from abbey to zoo,
JEP:HPP(36), No. 6, 2010, pp. 1430-1442.
And: CVPR10(3485-3492).
IEEE DOI
Dataset, Recognition.
WWW Link. 131067 images, 908 categories, objects and object categories.
Xiao, J.X.[Jian-Xiong], Ehinger, K.A.[Krista A.], Hays, J.[James], Torralba, A.[Antonio], Oliva, A.[Aude],
SUN Database: Exploring a Large Collection of Scene Categories,
IJCV(119), No. 1, August 2016, pp. 3-22.
Springer DOI
Dataset, Object Recognition.
WWW Link.
Le Cun, Y.L.[Yann L.], Huang, F.J.[Fu Jie], Bottou, L.[Leon],
Learning methods for generic object recognition with invariance to pose and lighting,
CVPR04(II: 97-104).
IEEE DOI And:
PDF File.
WWW Link.
Dataset, Objects. Real time implementation. Find generic objects.
Blandfort, P.[Philipp], Karayil, T.[Tushar], Hees, J.[Jörn], Dengel, A.[Andreas],
The Focus-Aspect-Value model for predicting subjective visual attributes,
MultInfoRetr(9), No. 1, March 2020, pp. 47-60.
Springer DOI
Dataset, Retrieval.
WWW Link.
Philbin, J.[James], Chum, O.[Ondrej], Isard, M.[Michael], Sivic, J.[Josef], Zisserman, A.[Andrew],
Lost in quantization: Improving particular object retrieval in large scale image databases,
CVPR08(1-8).
IEEE DOI
HTML Version.
Dataset, Objects.
Chum, O.[Ondrej], Philbin, J.[James], Sivic, J.[Josef], Isard, M.[Michael], Zisserman, A.[Andrew],
Total Recall: Automatic Query Expansion with a Generative Feature Model for Object Retrieval,
ICCV07(1-8).
IEEE DOI
And: A2, A1, A4, A3, A5:
Object retrieval with large vocabularies and fast spatial matching,
CVPR07(1-8).
IEEE DOI
HTML Version.
Dataset, Buildings. Award, Longuet-Higgins. (after 10 years).
FCVID: Fudan-Columbia Video Dataset,
WWW Link. Dataset, Video Content. 90,000+ videos, manually annotated for 239 categories. Video Indexing.
Large Scale Video Database,
2012.
WWW Link. Dataset, Video Database.
This database consists of 156,823 videos sequences (2,907,447 keyframes), which were crawled from YouTube during the period of July 2010 to September 2010. We provide the features as well as the ground truth. See also Multiple feature hashing for real-time large scale near-duplicate video retrieval. See also Large Scale Dataset for Cross-Model Multimedia Analysis.
MA14KD: Movie Attraction 14K Dataset,
WWW Link. Dataset, Visual Attractiveness. MA14KD provides a set of "Attractiveness" features extracted from 14000 movie and TV series trailers. The movie IDs are in agreement with the movie IDs provided by a rating dataset, that contains millions of ratings and thousands of tags.
Xu, J.[Jun], Mei, T.[Tao], Yao, T.[Ting], Rui, Y.[Yong],
MSR-VTT: A Large Video Description Dataset for Bridging Video and Language,
CVPR16(5288-5296)
IEEE DOI
Dataset, Video Analysis.
Li, Y.C.[Yun-Cheng], Song, Y.[Yale], Cao, L.L.[Liang-Liang], Tetreault, J.[Joel], Goldberg, L.[Larry], Jaimes, A.[Alejandro], Luo, J.B.[Jie-Bo],
TGIF: A New Dataset and Benchmark on Animated GIF Description,
CVPR16(4641-4650)
IEEE DOI
Dataset, Animations.
Liu, J.Z.[Jing-Zhou], Chen, W.[Wenhu], Cheng, Y.[Yu], Gan, Z.[Zhe], Yu, L.C.[Li-Cheng], Yang, Y.M.[Yi-Ming], Liu, J.J.[Jing-Jing],
Violin: A Large-Scale Dataset for Video-and-Language Inference,
CVPR20(10897-10907)
IEEE DOI
Dataset, Video. Task analysis, Visualization, Cognition, Natural languages, TV, Motion pictures, Benchmark testing
Bakker, E.M.[Erwin M.],
Open and free datasets for multimedia retrieval,
MultInfoRetr(5), No. 3, September 2016, pp. 135-136.
WWW Link.
Dataset, Multimedia Retrieval.
Plant Phenotyping Datasets for Computer Vision,
2016
WWW Link. Dataset, Plants. We present a collection of benchmark datasets in the context of plant phenotyping. We provide annotated imaging data and suggest suitable evaluation criteria for plant/leaf segmentation, detection, tracking as well as classification and regression problems. The figure symbolically depicts the data available together with ground truth segmentations and further annotations and metadata. Article in press. See also Finely-grained annotated datasets for image-based plant phenotyping.
Animals with Attributes 2 Dataset,
2017 Dataset, Animals.
WWW Link. Reference: See also Zero-Shot Learning: The Good, the Bad and the Ugly. Note the earlier AWA dataset has been removed due to copyright issues and replaces with this version.
Swanson, A.[Alexandra], Kosmala, M.[Margaret], Lintott, C.[Chris], Simpson, R.[Robert], Smith, A.[Arfon], Packer, C.[Craig],
Snapshot Serengeti, high-frequency annotated camera trap images of 40 mammalian species in an African savanna,
ScientificData(2), June 2015, Article 150026.
DOI Link
Dataset, Animals. Covered by many news outlets. Thousands of pictures of animals from motion activated cameras planted in the Serengeti. Includes interface for people to identify, etc. A great resource for automated detection and identification.
Nilsback, M.E.[Maria-Elena], Zisserman, A.[Andrew],
Automated Flower Classification over a Large Number of Classes,
ICCVGIP08(722-729).
IEEE DOI
HTML Version. Dataset, Flowers.
HTML Version.
Wood image database,
2000.
WWW Link.
WWW Link. For information also see:
HTML Version. Dataset, Lumber.
Beery, S.[Sara], Van Horn, G.[Grant], Perona, P.[Pietro],
Recognition in Terra Incognita,
ECCV18(XVI: 472-489).
Springer DOI
Dataset, Animals.
WWW Link.
Tropical Coral Reef Fish Detection, Tracking And Classification,
Fish4Knowledge project datasets. Online2014
WWW Link. Dataset, Fish. See also University of Edinburgh. See also Fish4Knowledge: Collecting and Analyzing Massive Coral Reef Fish Video Data.
Pre-Corrective Optics Space Telescope Axial Replacement Hubble Space Telescope star-cluster dataset,
Astronomy dataset. Dataset, Astronomy.
WWW Link.
Ramanathan, S.[Subramanian], Katti, H.[Harish], Sebe, N.[Nicu], Kankanhalli, M.[Mohan], Chua, T.S.[Tat-Seng],
An Eye Fixation Database for Saliency Detection in Images,
ECCV10(IV: 30-43).
Springer DOI
Dataset, Eye Fixation.
Rivera-Rubio, J.[Jose], Idrees, S.[Saad], Alexiou, I.[Ioannis], Hadjilucas, L.[Lucas], Bharath, A.A.[Anil A.],
A dataset for Hand-Held Object Recognition,
ICIP14(5881-5885)
IEEE DOI
Dataset, Object Recognition.
And:
Small Hand-Held Object Recognition Test (SHORT),
WACV14(524-531)
IEEE DOI
Earlier:
Mobile Visual Assistive Apps: Benchmarks of Vision Algorithm Performance,
ACVR13(30-40).
Springer DOI
Computer vision Cameras
Spacenet,
2020. Research Group, Europe.
WWW Link. Accelerating Geospatial Machine Learning Dataset, Mapping.
WWW Link.
Koch, T.[Tobias], d'Angelo, P.[Pablo], Kurz, F.[Franz], Fraundorfer, F.[Friedrich], Reinartz, P.[Peter], Körner, M.[Marco],
The TUM-DLR Multimodal Earth Observation Evaluation Benchmark,
SatStreet16(698-705)
IEEE DOI
Dataset, Remote Sensing.
WWW Link. Same scene, satellite, air, UAV, smartphone.
Shermeyer, J., Hogan, D., Brown, J., Van Etten, A., Weir, N., Pacifici, F., Hänsch, R., Bastidas, A., Soenen, S., Bacastow, T., Lewis, R.,
SpaceNet 6: Multi-Sensor All Weather Mapping Dataset,
EarthVision20(768-777)
IEEE DOI
Dataset, Mapping. Synthetic aperture radar, Optical sensors, Optical imaging, Adaptive optics, Optical polarization, Buildings
Tan, W., Qin, N., Ma, L., Li, Y., Du, J., Cai, G., Yang, K., Li, J.,
Toronto-3D: A Large-scale Mobile LiDAR Dataset for Semantic Segmentation of Urban Roadways,
EarthVision20(797-806)
IEEE DOI
Dataset, LiDAR. Semantics, Roads, Laser radar, Sensors, Machine learning, Automobiles
Hudson, W.H., Nadadur, D.C., Thornton, K.B., Liu, X., Haralick, R.M.,
The Radius CDROM Ground Truthed Data Set,
ARPA96(511-519). Dataset. Ground truth buildings for other users.
ISPRS benchmark on urban object detection and 3D building reconstruction,
2013
HTML Version. Dataset, Building Detection. Provide state-of-the-art data sets which can be used by interested researchers in order to test own methods and algorithms on urban object classification and building reconstruction.
Teller, S.[Seth], Antone, M.[Matthew], Bodnar, Z.[Zachary], Bosse, M.[Michael], Coorg, S.[Satyan], Jethwa, M.[Manish], Master, N.[Neel],
Calibrated, Registered Images of an Extended Urban Area,
IJCV(53), No. 1, June 2003, pp. 93-107.
DOI Link
Dataset, Buildings.
Earlier: CVPR01(I:813-820).
IEEE DOI
More the dataset than how to analyze the data.
WWW Link. See also Spherical Mosaics with Quaternions and Dense Correlation.
Meinel, G.[Gotthard], Burckhardt, M.[Manuel],
The Digital Basic Geodata Sets Hausumringe and Hauskoordinaten: Characterization and Pre-processing for Building Stock Analysis,
PFG(2013), No. 6, 2013, pp. 575-588.
DOI Link
Dataset, Buildings.
Ye, Z.[Zhen], Xu, Y.S.[Yu-Sheng], Huang, R.[Rong], Tong, X.H.[Xiao-Hua], Li, X.[Xin], Liu, X.[Xiangfeng], Luan, K.[Kuifeng], Hoegner, L.[Ludwig], Stilla, U.[Uwe],
LASDU: A Large-Scale Aerial LiDAR Dataset for Semantic Labeling in Dense Urban Areas,
IJGI(9), No. 7, 2020, pp. xx-yy.
DOI Link
Dataset, LiDAR.
NYU Depth Dataset V2,
HTML Version. Dataset, RGBD. Dataset, Indoor Scenes. See also Indoor Segmentation and Support Inference from RGBD Images.
Cordts, M., Omran, M., Ramos, S., Rehfeld, T., Enzweiler, M., Benenson, R., Franke, U., Roth, S., Schiele, B.,
The Cityscapes Dataset for Semantic Urban Scene Understanding,
CVPR16(3213-3223)
IEEE DOI
WWW Link.
WWW Link.
WWW Link.
WWW Link.
Dataset, City Models.
Ros, G., Sellart, L., Materzynska, J., Vazquez, D., Lopez, A.M.,
The SYNTHIA Dataset: A Large Collection of Synthetic Images for Semantic Segmentation of Urban Scenes,
CVPR16(3234-3243)
IEEE DOI
Dataset, City Models.
CyArk,
3-D, Laser data collection and archiving.
WWW Link. Vendor, Cultural Heritage. Dataset, Cultural Heritage. Digiatal Archive of the world's heritage sites for preservation and education. Not a vendor as such, but an archive and group that will collect the data. Some are small, some huge. Used for sites being destroyed, or for reconstruction. Visualizations, etc.
Weir, N., Lindenbaum, D., Bastidas, A., Etten, A., Kumar, V., Mcpherson, S., Shermeyer, J., Tang, H.,
SpaceNet MVOI: A Multi-View Overhead Imagery Dataset,
ICCV19(992-1001)
IEEE DOI
Dataset, Stereo. computer vision, feature extraction, image classification, image colour analysis, image resolution, image segmentation, Computer vision
UCF-ARG,
Online2012
WWW Link. Dataset, Surveillance.
Earlier: UCF Aerial Action Dataset,
WWW Link. A:Aerial Camera, R: Roof top camera, G: Ground camera. 3 views of different actions. The aerial subset
Jha, S.S.[Sudhanshu Shekhar], Nidamanuri, R.R.[Rama Rao],
Gudalur Spectral Target Detection (GST-D): A New Benchmark Dataset and Engineered Material Target Detection in Multi-Platform Remote Sensing Data,
RS(12), No. 13, 2020, pp. xx-yy.
DOI Link
Dataset, Targets. Target detection, or sparsely distributed materials.
Matzen, K.[Kevin], Snavely, N.[Noah],
NYC3DCars: A Dataset of 3D Vehicles in Geographic Context,
ICCV13(761-768)
IEEE DOI
Dataset, Vehicles. 3D models; geography; object detection; structure from motion
Boat Detection,
Online2019
HTML Version. Dataset, Ships.
WWW Link. Public video dataset for boat detection/tracking from UAV video footage See also MULTIDRONE. See also Racing Bicycle Detection/Tracking from UAV Footage, UAV Detection.
Gundogdu, E.[Erhan], Solmaz, B.[Berkan], Yücesoy, V.[Veysel], Koç, A.[Aykut],
MARVEL: A Large-Scale Image Dataset for Maritime Vessels,
ACCV16(V: 165-180).
Springer DOI
Dataset, Ships.
Mostajabi, M.[Mohammadreza], Wang, C.M.[Ching Ming], Ranjan, D.[Darsh], Hsyu, G.[Gilbert],
High Resolution Radar Dataset for Semi-Supervised Learning of Dynamic Objects,
PBVS20(450-457)
IEEE DOI
Dataset, Radar. Synthetic aperture radar, Radar imaging, Spaceborne radar, Image resolution, Apertures, Azimuth
Japanese Character Image Database,
Cedar (Buffalo) database. Dataset, OCR.
WWW Link. Test data for Japanese OCR.
Wang, D.H.[Da-Han], Liu, C.L.[Cheng-Lin], Yu, J.L.[Jin-Lun], Zhou, X.D.[Xiang-Dong],
CASIA-OLHWDB1: A Database of Online Handwritten Chinese Characters,
ICDAR09(1206-1210).
IEEE DOI
Dataset, OCR.
Zhou, S.[Shusen], Chen, Q.C.[Qing-Cai], Wang, X.L.[Xiao-Long], Guo, X.[Xinyi], Li, H.[Hui],
An Empirical Evaluation on HIT-OR3C Database,
ICDAR11(1150-1154).
IEEE DOI
Dataset, OCR. Handwriting Chinese character database (HIT-OR3C)
Yan, H.[Hanyu], Jin, L.W.[Lian-Wen], Viard-Gaudin, C.[Christian], Mouchere, H.[Harold],
SCUT-COUCH Textline_NU: An Unconstrained Online Handwritten Chinese Text Lines Dataset,
FHR10(581-586).
IEEE DOI
Dataset, Chinese Characters.
Zhang, H.G.[Hong-Gang], Guo, J.[Jun], Chen, G.[Guang], Li, C.G.[Chun-Guang],
HCL2000: A Large-scale Handwritten Chinese Character Database for Handwritten Character Recognition,
ICDAR09(286-290).
IEEE DOI
Dataset, OCR.
Liu, C.L.[Cheng-Lin], Yin, F.[Fei], Wang, D.H.[Da-Han], Wang, Q.F.[Qiu-Feng],
Online and offline handwritten Chinese character recognition: Benchmarking on new databases,
PR(46), No. 1, January 2013, pp. 155-162.
Elsevier DOI
Earlier:
CASIA Online and Offline Chinese Handwriting Databases,
ICDAR11(37-41).
IEEE DOI
Dataset, OCR. Handwritten Chinese character recognition; Online; Offline; Databases; Benchmarking See also Touching Character Database from Chinese Handwriting for Assessing Segmentation Algorithms, A.
Hull, J.J.,
A Database for Handwritten Text Recognition Research,
PAMI(16), No. 5, May 1994, pp. 550-554.
IEEE DOI Dataset, Handwriting. Handwriting Database.
Ground Truthed Handwritten Word Images,
Cambridge University dataset. Dataset, Handwriting.
HTML Version.
On-line Handwriting Database,
Tokyo Univ. of Agri. & Tech., Nakagawa Laboratory. Dataset, Handwriting.
WWW Link.
Shivram, A., Ramaiah, C., Setlur, S., Govindaraju, V.,
IBM_UB_1: A Dual Mode Unconstrained English Handwriting Dataset,
ICDAR13(13-17)
IEEE DOI
Dataset, OCR. handwriting recognition
Ben Abdelghani, I.A.[Imen Abroug], Ben Amara, N.E.[Najoua Essoukri],
SID Signature Database: A Tunisian Off-line Handwritten Signature Database,
EAHSP13(131-139).
Springer DOI
Dataset, Signatures.
Kleber, F., Fiel, S., Diem, M., Sablatnig, R.,
CVL-DataBase: An Off-Line Database for Writer Retrieval, Writer Identification and Word Spotting,
ICDAR13(560-564)
IEEE DOI
Dataset, Writer Identification. XML
USPS Office of Advanced Technology Database of Handwritten Cities, States, ZIP Codes, Digits, and Alphabetic Characters,
Cedar (Buffalo) database. Dataset, Handwriting.
WWW Link. Database for mail processing.
Dimauro, G., Impedovo, S., Modugno, R., Pirlo, G.,
A new database for research on bank-check processing,
FHR02(524-528).
IEEE Top Reference.
Dataset, Checks.
Ma, L.L., Liu, J.[Ji], Wu, J.,
A new database for online handwritten Mongolian word recognition,
ICPR16(1131-1136)
IEEE DOI
Dataset, Mongolian Characters. Character recognition, Databases, Handwriting recognition, Layout, Sampling methods, Training, Writing, CNN, MRG-OHMW, annotation, evaluation, online, handwritten, Mongolian, word, recognition
Ali, H.[Hazrat],
UHaT: Urdu handwritten text dataset,
2020
WWW Link. Dataset, Urdu. Urdu handwritten characters and digits.
Das, N.[Nibaran], Acharya, K.[Kallol], Sarkar, R.[Ram], Basu, S.[Subhadip], Kundu, M.[Mahantapas], Nasipuri, M.[Mita],
A benchmark image database of isolated Bangla handwritten compound characters,
IJDAR(17), No. 4, December 2014, pp. 413-431.
Springer DOI
WWW Link.
Dataset, Bangla.
Sarkar, R.[Ram], Das, N.[Nibaran], Basu, S.[Subhadip], Kundu, M.[Mahantapas], Nasipuri, M.[Mita], Basu, D.K.[Dipak Kumar],
CMATERdb1: A database of unconstrained handwritten Bangla and Bangla-English mixed script document image,
IJDAR(15), No. 1, March 2012, pp. 71-83.
WWW Link.
Dataset, Bangla.
Nethravathi, B., Archana, C.P., Shashikiran, K., Ramakrishnan, A.G., Kumar, V.[Vijay],
Creation of a Huge Annotated Database for Tamil and Kannada OHR,
FHR10(415-420).
IEEE DOI
Dataset, OCR.
Sagheer, M.W.[Malik Waqas], He, C.L.[Chun Lei], Nobile, N.[Nicola], Suen, C.Y.[Ching Y.],
A New Large Urdu Database for Off-Line Handwriting Recognition,
CIAP09(538-546).
Springer DOI
Dataset, Urdu Handwriting.
ERIM Arabic Document Database,
Machine printed Arabic documents. Dataset, OCR. Dataset, Arabic.
HTML Version.
Mahmoud, S.A.[Sabri A.], Ahmad, I.[Irfan], Al-Khatib, W.G.[Wasfi G.], Alshayeb, M.[Mohammad], Parvez, M.T.[Mohammad Tanvir], Märgner, V.[Volker], Fink, G.A.[Gernot A.],
KHATT: An open Arabic offline handwritten text database,
PR(47), No. 3, 2014, pp. 1096-1112.
Elsevier DOI
Dataset, Arabic Text. Arabic handwritten text database
Mahmoud, S.A.[Sabri A.], Ahmad, I.[Irfan], Alshayeb, M.[Mohammad], Al-Khatib, W.G.[Wasfi G.], Parvez, M.T.[Mohammad Tanvir], Fink, G.A.[Gernot A.], Margner, V.[Volker], El Abed, H.[Haikal],
KHATT: Arabic Offline Handwritten Text Database,
FHR12(449-454).
IEEE DOI
Dataset, Handwritting, Arabic.
Lamghari, N.[Nidal], Raghay, S.[Said],
DBAHCL: database for Arabic handwritten characters and ligatures,
MultInfoRetr(6), No. 3, September 2017, pp. 263-269.
Springer DOI
Dataset, Arabic Characters.
Al Maadeed, S.[Somaya], Ayouby, W.[Wael], Hassaine, A.[Abdelaali], Aljaam, J.M.[Jihad Mohamad],
QUWI: An Arabic and English Handwriting Dataset for Offline Writer Identification,
FHR12(746-751).
IEEE DOI
Dataset, Arabic.
Soleimani, A., Fouladi, K., Araabi, B.N.,
UTSig: A Persian offline signature dataset,
IET-Bio(6), No. 1, 2017, pp. 1-8.
DOI Link
Dataset, Persian. handwriting recognition
Ziaratban, M.[Majid], Faez, K.[Karim], Bagheri, F.[Fatemeh],
FHT: An Unconstraint Farsi Handwritten Text Database,
ICDAR09(281-285).
IEEE DOI
Dataset, OCR.
Haghighi, P.J.[Puntis Jifroodian], Nobile, N.[Nicola], He, C.L.[Chun Lei], Suen, C.Y.[Ching Y.],
A New Large-Scale Multi-purpose Handwritten Farsi Database,
ICIAR09(278-286).
Springer DOI
Dataset, Farsi Handwriting.
NIST OCR Databases,
2005.
WWW Link. Dataset, OCR. Dataset, Documents. A series of datasets for OCR and document analysis.
Sauvola, J., Kauniskangas, H.,
Media Team Document Database II,
Online1999.
WWW Link. Dataset, Document Analysis.
Todoran, L.[Leon], Worring, M.[Marcel], Smeulders, A.W.M.[Arnold W. M.],
The UvA color document dataset,
IJDAR(7), No. 4, September 2005, pp. 228-240.
Springer DOI
Dataset, Documents.
Earlier:
Data GroundTruth, Complexity, and Evaluation Measures for Color Document Analysis,
DAS02(519 ff.).
Springer DOI
Bukhari, S.S.[Syed Saqib], Shafait, F.[Faisal], Breuel, T.M.[Thomas M.],
The IUPR Dataset of Camera-Captured Document Images,
CBDAR11(164-171).
Springer DOI
Dataset, Document Images.
Nagy, R.[Robert], Dicker, A.[Anders], Meyer-Wegener, K.[Klaus],
NEOCR: A Configurable Dataset for Natural Image Text Recognition,
CBDAR11(150-163).
Springer DOI
Dataset, Natural Image Text.
Ibrahim, A.[Ahmed], Abbott, A.L.[A. Lynn], Hussein, M.E.[Mohamed E.],
An Image Dataset of Text Patches in Everyday Scenes,
ISVC16(II: 291-300).
Springer DOI
Dataset, Scene Text.
Ikica, A.[Andrej], Peer, P.[Peter],
Computer Vision Lab OCR DataBase: CVL OCR DB,
2011. A public annotated image database of text in natural scenes
WWW Link. Dataset, Text in Images.
Guerin, C., Rigaud, C., Mercier, A., Ammar-Boudjelal, F., Bertet, K., Bouju, A., Burie, J.C., Louis, G., Ogier, J.M., Revel, A.,
eBDtheque: A Representative Database of Comics,
ICDAR13(1145-1149)
IEEE DOI
Dataset, Comics. entertainment
Quiniou, S.[Solen], Mouchere, H.[Harold], Saldarriaga, S.P.[Sebastián Pen], Viard-Gaudin, C.[Christian], Morin, E.[Emmanuel], Petitrenaud, S.[Simon], Medjkoune, S.[Sofiane],
HAMEX: A Handwritten and Audio Dataset of Mathematical Expressions,
ICDAR11(452-456).
IEEE DOI
Dataset, OCR.
Stria, J.[Jan], Bresler, M.[Martin], Prua, D.[Daniel], Hlavác, V.[Vaclav],
MfrDB: Database of Annotated On-Line Mathematical Formulae,
FHR12(542-547).
IEEE DOI
Dataset, Formula.
FlickrLogos-32,
2013
WWW Link. Dataset, Logos. 32 logo classes, various orientations, surface shapes, etc.
UMD Logo Database,
Univ. Maryland database of 106 corportate logos. Dataset, Logos.
HTML Version.
Yang, Z.L.[Zhong-Liang], Wang, K.[Ke], Ma, S.[Sai], Huang, Y.F.[Yong-Feng], Kang, X.G.[Xian-Gui], Zhao, X.F.[Xian-Feng],
ISTEGO100K: Large-scale Image Steganalysis Dataset,
IWDW19(352-364).
Springer DOI
Dataset, Setganalysis.
Rocha, A.[Anderson], Goldenstein, S.K.[Siome K.], Scheirer, W.J.[Walter J.], Boult, T.E.[Terrance E.],
The Unseen Challenge data sets,
WVU08(1-8).
IEEE DOI
Dataset, Steganalysis.
Unipen Project,
Online1994. Dataset, Handwriting.
WWW Link. This is a working group organized through IAPR to maintain and protect (ensure available to researchers) various databases of handwriting data.
Njah, S.[Sourour], Ben Nouma, B.[Badreddine], Bezine, H.[Hala], Alimi, A.M.[Adel M.],
MAYASTROUN: A Multilanguage Handwriting Database,
FHR12(308-312).
IEEE DOI
Dataset, Handwriting.
Pérez, D.[Daniel], Tarazón, L.[Lionel], Serrano, N.[Nicolás], Castro, F.[Francisco], Terrades, O.R.[Oriol Ramos], Juan, A.[Alfons],
The GERMANA Database,
ICDAR09(301-305).
IEEE DOI
Dataset, OCR. Handwritten Spanish manuscript from 1891.
Aytekin, Ç., Nikkanen, J., Gabbouj, M.,
A Data Set for Camera-Independent Color Constancy,
IP(27), No. 2, February 2018, pp. 530-544.
IEEE DOI
Dataset, Color Constancy. Cameras, Image color analysis, Lighting, Reflectivity, Robustness, Sensitivity, Training, Color constancy, color shading, platform independence
Barnard, K.[Kobus], Martin, L.[Lindsay], Funt, B.V.[Brian V.], and Coath, A.[Adam],
A Data Set for Colour Research,
ColorRes(27), No 3, 2002, pp. 147-151.
HTML Version. Dataset, Color Constancy.
HTML Version.
Soundararajan, P.[Padmanabhan], Sarkar, S.[Sudeep],
An in-depth study of graph partitioning measures for perceptual organization,
PAMI(25), No. 6, June 2003, pp. 642-660.
IEEE Abstract.
Evaluation, Segmentation.
WWW Link. Code, Perceptual Grouping. Dataset, Perceptual Grouping.
Earlier:
Empirical evaluation of graph partitioning measures for perceptual organization,
EEMCV01(xx-yy).
Quality of groups generated by minimum ( See also Optimal Graph Theoretic Approach to Data Clustering: Theory and Its Application to Image Segmentation, An. ) or average ( See also Supervised Learning of Large Perceptual Organization: Graph Spectral Partitioning and Learning Automata. ) or normalized ( See also Normalized Cuts and Image Segmentation. ) cuts are equivalent for recognition.
Wang, T.C.[Ting-Chun], Zhu, J.Y.[Jun-Yan], Hiroaki, E.[Ebi], Chandraker, M.[Manmohan], Efros, A.A.[Alexei A.], Ramamoorthi, R.[Ravi],
A 4D Light-Field Dataset and CNN Architectures for Material Recognition,
ECCV16(III: 121-138).
Springer DOI
Dataset, Material Recognition.
Large Geometric Models Archive,
2008
WWW Link. Dataset, 3-D Models. Detailed 3-D models from Georgia Institute of Technology. Especially for graphics. See also Georgia Tech.
Digne, J.[Julie], Audfray, N.[Nicolas], Lartigue, C.[Claire], Mehdi-Souzani, C.[Charyar], Morel, J.M.[Jean-Michel],
Farman Institute 3D Point Sets: High Precision 3D Data Sets,
IPOL(2011), No. 1, 2011, pp. xx-yy.
DOI Link
Dataset, 3D Data.
ISPRS Terrestrial laser scanning and 3D imaging Datasets,
2008.
HTML Version. Dataset, 3-D Data. 3-D datasets for large scale objects. Sanmarina Byzantine church and Golden Buddha.
NaturePix: Visual Cognitive Modeling Research,
WWW Link. 2007. Dataset, 3-D Data. ASU 3-D datasets. Replaces former ASU dataset?
The Stanford 3D Scanning Repository,
WWW Link. 2007. Dataset, 3-D Data. Stanford graphics databases
The Beazley Archive of Classical Art Pottery Database,
July 2013
WWW Link. Dataset, Pottery.
Uy, M.A., Pham, Q., Hua, B., Nguyen, T., Yeung, S.,
Revisiting Point Cloud Classification: A New Benchmark Dataset and Classification Model on Real-World Data,
ICCV19(1588-1597)
IEEE DOI
Dataset, Point Cloud.
WWW Link. CAD, feature extraction, learning (artificial intelligence), neural nets, Market research
Hodan, T.[Tomáš], Haluza, P.[Pavel], Obdržálek, Š.[Štepán], Matas, J.G.[Jirí G.], Lourakis, M.[Manolis], Zabulis, X.[Xenophon],
T-LESS: An RGB-D Dataset for 6D Pose Estimation of Texture-Less Objects,
WACV17(880-888)
IEEE DOI
Dataset, RBG-D.
WWW Link. (Slow response) Image color analysis, Image sensors, Pose estimation, Sensors, Solid modeling, Training
Bellmann, A.[Anke], Hellwich, O.[Olaf], Rodehorst, V.[Volker], Yilmaz, U.[Ulas],
A Benchmarking Dataset for Performance Evaluation of Automatic Surface Reconstruction Algorithms,
BenCOS07(1-8).
IEEE DOI
Dataset, Surface Reconstruction.
Lee, S.K.[Seung-Kyu], Liu, Y.X.[Yan-Xi],
Curved Glide-Reflection Symmetry Detection,
PAMI(34), No. 2, February 2012, pp. 266-278.
IEEE DOI
Earlier: CVPR09(1046-1053).
IEEE DOI
Generalize Bilateral reflection symmetry to curved glide-reflection. Leaf images. Dataset, Symmetry Images.
Alpha Matting Evaluation Website,
2009.
WWW Link. Dataset, Image Matting. See also perceptually motivated online benchmark for image matting, A.
Vidal, R.G.[Rosaura G.], Banerjee, S.[Sreya], Grm, K.[Klemen], Struc, V.[Vitomir], Scheirer, W.J.[Walter J.],
UG^2: a Video Benchmark for Assessing the Impact of Image Restoration and Enhancement on Automatic Visual Recognition,
WWW Link.
Earlier: WACV18(1597-1606)
IEEE DOI
Dataset, Image Restoration. Used for restoration challenges at CVPR. image classification, image enhancement, image restoration, learning (artificial intelligence), object detection, Visualization
Liu, X.W.[Xin-Wei], Pedersen, M.[Marius], Hardeberg, J.Y.[Jon Yngve],
CID:IQ: A New Image Quality Database,
ICISP14(193-202).
Springer DOI
Dataset, Image Quality.
Sun, W.[Wen], Zhou, F.[Fei], Liao, Q.[Qingmin],
MDID: A multiply distorted image database for image quality assessment,
PR(61), No. 1, 2017, pp. 153-168.
Elsevier DOI
Dataset, Image Quality. Image database
Virtanen, T., Nuutinen, M., Vaahteranoksa, M., Oittinen, P., Hakkinen, J.,
CID2013: A Database for Evaluating No-Reference Image Quality Assessment Algorithms,
IP(24), No. 1, January 2015, pp. 390-402.
IEEE DOI
Dataset, Image Quality. cameras
Lin, J.Y.[Joe Yuchieh], Song, R.[Rui], Wu, C.H.[Chi-Hao], Liu, T.J.[Tsung-Jung], Wang, H.[Haiqiang], Kuo, C.C.J.[C.C. Jay],
MCL-V: A streaming video quality assessment database,
JVCIR(30), No. 1, 2015, pp. 1-9.
Elsevier DOI
Dataset, Video Streaming. Video quality
SAVAM, Visual Salience Dataset,
Saliency dataset.
WWW Link. Dataset, Saliency.
41 scenes, eyetracker, high res, left and right stereo views. Paper reference: See also Semiautomatic visual-attention modeling and its application to video compression.
Anaya, J.[Josue], Barbu, A.[Adrian],
RENOIR-A dataset for real low-light image noise reduction,
JVCIR(51), 2018, pp. 144-154.
Elsevier DOI
Dataset, Noise Reduction. Image denoising, Denoising dataset, Low light noise, Poisson-Gaussian noise model
The Chinese University of Hong Kong,
Computer Vision Laboratory WWW Link.
Research Group, Hong Kong. PETA: Pedestrian Attribute Recognition At Far Distance,
Dataset, Pedestrians. HTML Version.
19,000 images. Large-scale Fashion (DeepFashion) Dataset,
2016. HTML Version.
Dataset, Fashion. 800,000 fashion images. In-Shop Clothes Retrieval Database.
Lotus Hill Institute,
Imageparsing WWW Link.
Research Group, China. Dataset, Segmentation. Code, Viewing. The Imageparsing site is devoted to providing ground truth datasets and Matlab code for annotation and viewing. See also LHI Object Datasets. See also LHI Sports Activity Dataset. See also LHI Segmentation Dataset. See also LHI Surveillance Dataset.
Oxford,
Robotics. WWW Link.
Visual Geometry Group WWW Link.
Research Group, UK. Active vision, visual geometry, medical imaging, manufacturing systems, sonar, robotics. Oxford Image Examples,
Dataset. HTML Version.
Swiss Federal Institute of Technology in Zurich,
ETHComputer Vision Lab: WWW Link.
Research Group, Switzerland. Interpretation of 2D and 3D image data sets from conventional and non-conventional image sources. Photogrammetry group: WWW Link.
Aerial Image Dataset,
Dataset, Aerial Images. WWW Link.
University Jaume I,
Institute of New Imaging Technologies WWW Link.
Computer Vision Group WWW Link.
Research Group, Spain. Spectral Imaging. Spectral Imaging Data Base,
Dataset, Spectral Imaging. WWW Link.
University of Toronto,
RBCV-TRAnd Toronto WWW Link.
eyeTap Personal Imaging Lab: WWW Link.
Research Group, Canada. Open Vidia code. See also OpenVidia. Large group. CIFAR-10 and CIFAR-100 Datasets,
Dataset, Tiny Images. HTML Version.
10 classes, 10000 images per class. Or 100 classes t00 images each.
Abel Stock,
Commercial image database WWW Link.
Dataset, Images.
California Institute of Technology,
Computational Vision Group WWW Link.
Research Group, US. Computational foundations of vision. A number of datasets are available online. CalTech 101 Objects Categories,
Dataset, Objects. HTML Version.
CalTech 256 Objects Categories,
Dataset, Objects. WWW Link.
30607 images, 256 categories. CalTech 100 Natural Scenes,
Dataset, Natural Scenes. WWW Link.
CalTech 10000 Web Faces,
Dataset, Faces. WWW Link.
CalTech Turntable Images,
Dataset, 3D Data. WWW Link.
144 calibrated viewpoints, 3 lighting variations. CalTech Archived Images,
Dataset, Images. HTML Version.
CalTech-UCSD Birds 200 2011,
CUB-200-2011 Dataset, Images. HTML Version.
Dataset, Birds. Extension of the CUB-200 dataset.
Massachusetts Institute of Technology, AI Lab,
Computer Science and Artificial Intelligence Lab CSAILAI group memo MIT AI Memoor MIT AIor MIT AIMAI Memos are shorter reports. MIT AI-TRor MIT AI TRAI Tech Reports are longer (often the thesis). Also Project MAC Technical Reports MAC-TRMost are available through: AI TR and Memo series go to 2004, then the CSAIL series. WWW Link.
CS & AI Lab Vision Research: WWW Link.
Activity, learning, medical vision, and vision interfaces. Perceptual Science Group: WWW Link.
Sensing Perception Autonomy and Robot Kinetics WWW Link.
Motion Magnification WWW Link.
Research Group, US. MIT Places Database for Scene Recognition,
Dataset, Recognition.
WWW Link. 205 scene categories, 2.5Million images. SUN 397 Database,
Ohio State University,
Signal Analysis and Machine Perception Laboratory (SAMPL) WWW Link.
Research Group, US. Broad research areas, hyper and multi-spectral, aerial images, medical images, range processing, human motion, inspection. Various datasets for 2-D and 3-D data. OSU Datasets,
Dataset, Images. HTML Version.
Princeton,
PrincetonComputer Science Department. Computer vision group. WWW Link.
Research Group, US. Human action classification. Dataset. WWW Link.
SUNRGBD: A RGB-D Scene Understanding Benchmark Suite,
Dataset, RGBD. WWW Link.
Indoor Scenes.
Stanford University, Computer Science Departent,
Technical report STAN-CSsome as Stanford AIThe Stanford Vision Lab: WWW Link.
Also: Stanford Vision and Imaging Science and Technology WWW Link.
Research Group, US. Also: Make3D moved to Cornell See also Cornell University. Cars 196 Dataset,
Dataset, Vehicles. HTML Version.
196 classes of cars, 16,185 images.
University of Illinois,
Urbana-Champaign Various Departments, UIUCOr IllinoisVision Lab page: WWW Link.
Quantitative Light Imaging (QLI) Laboratory WWW Link.
Research Group, US. Robotics, Textures, 3-D recognition and representation, cameras, rendering, HCI. University of Illinois Datasets,
Dataset, Texture. 25 textures, 40 samples. Dataset, Natural Scenes. 15 Categories. Dataset, Stereo Data. 9 objects, 80 images Dataset, Multi-View Data. 10 datasets, 24 images of a single object each. Dataset, Visual Hull. Dataset, Object Recognition. Birds, Butterflys, etc. Dataset, Video. WWW Link.
University of Southern California, Signal and Image Processing,
USC_SIPI WWW Link.
Research Group, US. Dataset, Images. Image processing. Some of the old standard image datasets (texture, vehicles, compression).
Marszalek, M.[Marcin], Schmid, C.[Cordelia],
Accurate Object Recognition with Shape Masks,
IJCV(97), No. 2, April 2012, pp. 191-209.
WWW Link.
Earlier:
Accurate Object Localization with Shape Masks,
CVPR07(1-8).
IEEE DOI
Dataset, People.
WWW Link. The dataset includes annotations. Derived from Graz dataset.
WWW Link.
Matching Challenge Dataset,
2020. Dataset, Matching.
WWW Link. Phototourism dataset. Large baseline matching.
Yang, G.[Gehua], Stewart, C.V.[Charles V.], Sofka, M.[Michal], Tsai, C.L.[Chia-Ling],
Registration of Challenging Image Pairs: Initialization, Estimation, and Decision,
PAMI(29), No. 11, November 2007, pp. 1973-1989.
IEEE DOI
Dataset, Matching.
HTML Version.
Earlier:
Automatic robust image registration system: Initialization, estimation, and decision,
CVS06(23).
IEEE DOI
Zhang, J.[Juncheng], Liao, Q.[Qingmin], Liu, S.[Shaojun], Ma, H.[Haoyu], Yang, W.[Wenming], Xue, J.H.[Jing-Hao],
Real-MFF: A large realistic multi-focus image dataset with ground truth,
PRL(138), 2020, pp. 370-377.
Elsevier DOI
Dataset, Multi-Focus. Image fusion, Multi-focus images, Multi-focus dataset, Deep learning
Goyette, N., Jodoin, P.M., Porikli, F.M., Konrad, J., Ishwar, P.,
A Novel Video Dataset for Change Detection Benchmarking,
IP(23), No. 11, November 2014, pp. 4663-4679.
IEEE DOI
Dataset, Change Detection. Adaptive optics
Wang, Y.[Yi], Jodoin, P.M.[Pierre-Marc], Porikli, F.M.[Fatih M.], Konrad, J.[Janusz], Benezeth, Y.[Yannick], Ishwar, P.[Prakash],
CDnet 2014: An Expanded Change Detection Benchmark Dataset,
CDW14(393-400)
IEEE DOI
Dataset, Change Detection.
Goyette, N.[Nil], Jodoin, P.M.[Pierre-Marc], Porikli, F.M.[Fatih M.], Konrad, J.[Janusz], Ishwar, P.[Prakash],
Changedetection.net: A new change detection benchmark dataset,
CDW12(1-8).
IEEE DOI
Dataset, Change Detection.
Walas, K.[Krzysztof], Leonardis, A.[Aleš],
UoB highly occluded object challenge (UoB-HOOC),
2016
WWW Link. Dataset, Object Detection.
Wang, Y.M.[Ya-Ming], Tan, X.[Xiao], Yang, Y.[Yi], Li, Z., Liu, X., Zhou, F., Davis, L.S.,
A Refined 3D Pose Dataset for Fine-Grained Object Categories,
R6D19(2797-2806)
IEEE DOI
Dataset, Object Recognition.
HTML Version. image segmentation, object recognition, pose estimation, statistical analysis, image segmentation networks, IoU, Fine grained objects
Drost, B.[Bertram], Ulrich, M.[Markus], Bergmann, P., Härtinger, P., Steger, C.T.[Carsten T.],
Introducing MVTec ITODD: A Dataset for 3D Object Recognition in Industry,
6DPose17(2200-2208)
IEEE DOI
Dataset, Object Recognition. Cameras, Engines, Gray-scale, Object detection, Sensor phenomena and characterization.
Hodan, T.[Tomáš], Michel, F.[Frank], Brachmann, E.[Eric], Kehl, W.[Wadim], Buch, A.G.[Anders Glent], Kraft, D.[Dirk], Drost, B.[Bertram], Vidal, J.[Joel], Ihrke, S.[Stephan], Zabulis, X.[Xenophon], Sahin, C.[Caner], Manhardt, F.[Fabian], Tombari, F.[Federico], Kim, T.K.[Tae-Kyun], Matas, J.G.[Jirí G.],
BOP: Benchmark for 6D Object Pose Estimation,
ECCV18(X: 19-35).
Springer DOI
Dataset, Object Pose.
Peters, G.[Gabriele], Zitova, B.[Barbara], von der Malsburg, C.[Christoph],
How to measure the pose robustness of object views,
IVC(20), No. 5-6, 15 April 2002, pp. 341-348.
Elsevier DOI
BMVC issue
And: IVC(20), No. 4, April 2002, pp. 249-256.
Elsevier DOI
HTML Version.
Dataset, 3-D Data.
Stegmann, M.B.[Mikkel B.],
Active Appearance Models,
Online2007.
WWW Link. Code, Active Appearance Model. Dataset, Active Appearance Model. AAM code and information. See also Technical University of Denmark.
Luo, C.[Cai], Yu, L.J.[Lei-Jian], Yang, E.[Erfu], Zhou, H.Y.[Hui-Yu], Ren, P.[Peng],
A benchmark image dataset for industrial tools,
PRL(125), 2019, pp. 341-348.
Elsevier DOI
Dataset, Tools. Benchmark, Industrial tools, Image dataset
MIT 67 Indoor Dataset,
Dataset, Indoor Images.
HTML Version. See also Recognizing indoor scenes.
Yang, K., Russakovsky, O., Deng, J.,
SpatialSense: An Adversarially Crowdsourced Benchmark for Spatial Relation Recognition,
ICCV19(2051-2060)
IEEE DOI
Dataset, Spatial Relations.
WWW Link. crowdsourcing, image capture, image recognition, image sampling, object recognition, SpatialSense benchmark, Genomics
Section, Multiple Entries: 13.4.6 Object Recognition, Retrieval Datasets Chapter Contents (Back)
Evaluation, Recognition. Dataset, Objects. Dataset, Retrieval. See also Visual Question Answering, Query, VQA.
The PASCAL Object Recognition Database Collection,
2006. Dataset, Objects.
HTML Version. Various datasets for object recognition. Pointers to some of the others.
MSR VTT Dataset,
A Large Video Description Dataset for Bridging Video and Language. WWW Link.
Dataset, Visual Question Answering.
Video Objects: A Test Database for Video Object Recognition,
2006. Dataset, Objects.
HTML Version. 180 videos of 15 objects.
Animals with Attributes: A dataset for Attribute Based Classification,
2006. Dataset, Objects.
WWW Link. 30,000+ images, 40 animal classes.
Image Net,
2014.
WWW Link. Dataset, Objects. Large set of images (or sets of datasets) for recognition. Related to ImageNet Challanges for recognition. 14Million+ images. Links to Stanford See also Stanford University, Computer Science Departent. and Princeton. See also Princeton.
Washington Ground Truth Image Database,
CBIR dataset. Online2004
WWW Link. Dataset. Dataset, Retrieval.
LHI Object Datasets,
Includes hand segmentations, and annotations. Online2004
HTML Version. Dataset. Dataset, Object Recognition. Transportation images, Animals, Aerial Images, Objects, Dataset also includes other data. See also Lotus Hill Institute.
NEC Animal Dataset,
Online2009
WWW Link. Dataset. Dataset, Object Recognition. It consists of about 5000 high quality images from 60 toy animals taken at different poses against a plain background.
Xcavator.Net,
Online2007
WWW Link. Dataset, Object Recognition. Photo search for professional use. Searches stock databases, you then purchase the image for use. Part of CogniSign LLC.
Geusebroek, J.M.[Jan-Mark], Burghouts, G.J.[Gertjan J.], Smeulders, A.W.M.[Arnold W.M.],
The Amsterdam Library of Object Images,
IJCV(61), No. 1, January 2005, pp. 103-112.
DOI Link
WWW Link. Dataset, Objects. 1000 objects over 100 images per object.
Torralba, A.B.[Antonio B.], Fergus, R.[Rob], Freeman, W.T.[William T.],
80 Million Tiny Images: A Large Data Set for Nonparametric Object and Scene Recognition,
PAMI(30), No. 11, November 2008, pp. 1958-1970.
IEEE DOI
WWW Link.
And: CSAIL-TR-2007-024, 2007. Dataset, Retrieval. Images from the WWW, associated with a noun. Large comprehensive dataset. Dataset with segmentations.
Russell, B.[Bryan], Torralba, A.B.[Antonio B.], Freeman, W.T.[William T.],
LableMe: The Open Annotation Tool,
Online2010.
WWW Link.
Dataset, Retrieval. Code, Annotation. The site for the annotation tool, also the video version.
Zhou, B.[Bolei], Lapedriza, A.[Agata], Khosla, A.[Aditya], Oliva, A.[Aude], Torralba, A.B.[Antonio B.],
Places: A 10 Million Image Database for Scene Recognition,
PAMI(40), No. 6, June 2018, pp. 1452-1464.
IEEE DOI
Dataset, Retrieval. Context, Databases, Image recognition, Semantics, Sun, Training, Visualization, Scene classification, deep feature, deep learning, visual recognition
Escalante, H.J.[Hugo Jair], Hernandez, C.A.[Carlos A.], Gonzalez, J.A.[Jesus A.], Lopez-Lopez, A., Montes-y-Gomez, M.[Manuel], Morales, E.F.[Eduardo F.], Sucar, L.E.[L. Enrique], Villasenor, L.[Luis], Grubinger, M.[Michael],
The segmented and annotated IAPR TC-12 benchmark,
CVIU(114), No. 4, April 2010, pp. 419-428.
Elsevier DOI
Dataset, Retrieval. Data set creation; Ground truth collection; Evaluation metrics; Automatic image annotation; Image retrieval
Russakovsky, O.[Olga], Deng, J.[Jia], Su, H.[Hao], Krause, J.[Jonathan], Satheesh, S.[Sanjeev], Ma, S.[Sean], Huang, Z.H.[Zhi-Heng], Karpathy, A.[Andrej], Khosla, A.[Aditya], Bernstein, M.[Michael], Berg, A.C.[Alexander C.], Fei-Fei, L.[Li],
ImageNet Large Scale Visual Recognition Challenge,
IJCV(115), No. 3, December 2015, pp. 211-252.
Springer DOI
Dataset, Object Category. Object category classification and detection on hundreds of object categories and millions of images.
Loh, Y.P.[Yuen Peng], Chan, C.S.[Chee Seng],
Getting to know low-light images with the Exclusively Dark dataset,
CVIU(178), 2019, pp. 30-42.
Elsevier DOI
Dataset, Low Light.
Aizawa, K., Fujimoto, A., Otsubo, A., Ogawa, T., Matsui, Y., Tsubota, K., Ikuta, H.,
Building a Manga Dataset 'Manga109' With Annotations for Multimedia Applications,
MultMedMag(27), No. 2, April 2020, pp. 8-18.
IEEE DOI
Dataset, Manga. Machine learning, Visualization, Character recognition, Art, Machine learning algorithms, Task analysis
Kuznetsova, A.[Alina], Rom, H.[Hassan], Alldrin, N.[Neil], Uijlings, J.[Jasper], Krasin, I.[Ivan], Pont-Tuset, J.[Jordi], Kamali, S.[Shahab], Popov, S.[Stefan], Malloci, M.[Matteo], Kolesnikov, A.[Alexander], Duerig, T.[Tom], Ferrari, V.[Vittorio],
The Open Images Dataset V4,
IJCV(128), No. 7, July 2020, pp. 1956-1981.
Springer DOI
Dataset, Object Detection. 9.2M images with unified annotations.
HTML Version.
Scheck, T.[Tobias], Seidel, R.[Roman], Hirtz, G.[Gangolf],
Learning from THEODORE: A Synthetic Omnidirectional Top-View Indoor Dataset for Deep Transfer Learning,
WACV20(932-941)
IEEE DOI
Dataset, Fisheye Images. Cameras, Image segmentation, Object detection, Semantics, Solid modeling, Rendering (computer graphics)
Behley, J., Garbade, M., Milioto, A., Quenzel, J., Behnke, S., Stachniss, C., Gall, J.,
SemanticKITTI: A Dataset for Semantic Scene Understanding of LiDAR Sequences,
ICCV19(9296-9306)
IEEE DOI
Dataset, LiDAR. distance measurement, image segmentation, optical radar, stereo image processing, LiDAR sequences, Lasers
Gu, S., Lugmayr, A., Danelljan, M., Fritsche, M., Lamour, J., Timofte, R.,
DIV8K: DIVerse 8K Resolution Image Dataset,
AIM19(3512-3516)
IEEE DOI
Dataset, High Resolution. convolutional neural nets, image resolution, learning (artificial intelligence), CNN, image processing
Mauceri, C.[Cecilia], Palmer, M.[Martha], Heckman, C.[Christoffer],
SUN-Spot: An RGB-D Dataset With Spatial Referring Expressions,
CLVL19(1883-1886)
IEEE DOI
Dataset, Recognition. image colour analysis, object detection, SLAM (robots), spatial referring expressions, SUN-Spot, objects localization, multimodal
Sølund, T.[Thomas], Buch, A.G.[Anders Glent], Krüger, N.[Norbert], Aanæs, H.[Henrik],
A Large-Scale 3D Object Recognition Dataset,
3DV16(73-82)
IEEE DOI
Dataset, Object Recognition.
WWW Link. object recognition
Hua, B.S.[Binh-Son], Pham, Q.H.[Quang-Hieu], Nguyen, D.T.[Duc Thanh], Tran, M.K.[Minh-Khoi], Yu, L.F.[Lap-Fai], Yeung, S.K.[Sai-Kit],
SceneNN: A Scene Meshes Dataset with aNNotations,
3DV16(92-101)
IEEE DOI
Dataset, RGB-D.
WWW Link. Cameras
Rotman, D.[Daniel], Gilboa, G.[Guy],
A Depth Restoration Occlusionless Temporal Dataset,
3DV16(176-184)
IEEE DOI
Dataset, RGB-D.
Zhang, J.J.[Jun-Jie], Zhang, J.[Jian], Lu, J.F.[Jian-Feng], Shen, C.H.[Chun-Hua], Curr, K.[Kate], Phua, R.[Robin], Neville, R.[Richard], Edmonds, E.[Elise],
SLNSW-UTS: A Historical Image Dataset for Image Multi-Labeling and Retrieval,
DICTA16(1-6)
IEEE DOI
Dataset, Object Recognition. 29713 images, 119 labels.
Xiang, Y.[Yu], Kim, W.[Wonhui], Chen, W.[Wei], Ji, J.W.[Jing-Wei], Choy, C.[Christopher], Su, H.[Hao], Mottaghi, R.[Roozbeh], Guibas, L.J.[Leonidas J.], Savarese, S.[Silvio],
ObjectNet3D: A Large Scale Database for 3D Object Recognition,
ECCV16(VIII: 160-176).
Springer DOI
Dataset, Object Recognition.
WWW Link.
Lin, T.Y.[Tsung-Yi], Maire, M.[Michael], Belongie, S.J.[Serge J.], Hays, J.[James], Perona, P.[Pietro], Ramanan, D.[Deva], Dollár, P.[Piotr], Zitnick, C.L.[C. Lawrence],
Microsoft COCO: Common Objects in Context,
ECCV14(V: 740-755).
Springer DOI
Dataset, Objects.
WWW Link.
Flickr30k Dataset,
From image descriptions to visual denotations. WWW Link.
Dataset, Visual Question Answering. Extension of Flickr 8k dataset.
Plummer, B.A.[Bryan A.], Wang, L.[Liwei], Cervantes, C.M.[Chris M.], Caicedo, J.C.[Juan C.], Hockenmaier, J.[Julia], Lazebnik, S.[Svetlana],
Flickr30k Entities: Collecting Region-to-Phrase Correspondences for Richer Image-to-Sentence Models,
IJCV(123), No. 1, May 2017, pp. 74-93.
Springer DOI
Earlier: ICCV15(2641-2649)
IEEE DOI
Dataset, Object Recognition. Benchmark testing
Fanello, S.R.[Sean Ryan], Ciliberto, C.[Carlo], Santoro, M.[Matteo], Natale, L.[Lorenzo], Metta, G.[Giorgio], Rosasco, L.[Lorenzo], Odone, F.[Francesca],
iCub World: Friendly Robots Help Building Good Vision Data-Sets,
GT13(700-705)
IEEE DOI
Dataset, Object Recognition. Human Robot Interaction; Object Categorization Dataset; iCub
Ponomarenko, N.[Nikolay], Ieremeiev, O.[Oleg], Lukin, V.[Vladimir], Jin, L.[Lina], Egiazarian, K.O.[Karen O.],
A New Color Image Database TID2013: Innovations and Results,
ACIVS13(402-413).
Springer DOI
Dataset, Color Images.
Ponce, J., Berg, T.L., Everingham, M.R., Forsyth, D.A., Hebert, M., Lazebnik, S.[Svetlana], Marszalek, M., Schmid, C., Russell, B.C., Torralba, A., Williams, C.K.I., Zhang, J., Zisserman, A.,
Dataset Issues in Object Recognition,
CLOR06(29-48).
Springer DOI
Dataset, Discussion.
Campbell, R., and Flynn, P.J.,
A WWW-Accessible 3D Image and Model Database for Computer Vision Research,
EEMCV98(148-154).
And: EEMTV98(xx) Dataset, 3-D Data.
HTML Version.
Nene, S.A., Nayar, S.K.[Shree K.], Murase, H.[Hiroshi],
Columbia Object Image Library (COIL-100),
ColumbiaTechnical Report CUCS-006-96, February 1996.
PS File. Also:
WWW Link. Also the COIL-20 database.
WWW Link. Dataset, Objects.
Bileschi, S.M.[Stanley M.],
CBCL StreetScenes Challenge Framework,
Online2007.
WWW Link. Dataset, Object Detection. Primarily for Cars, people, and street scenes. Data is labeled.
Hoiem, D.[Derek], Efros, A.A.[Alexei A.], Hebert, M.[Martial],
Recovering Surface Layout from an Image,
IJCV(75), No. 1, October 2007, pp. 151-172.
Springer DOI
Earlier:
Geometric Context from a Single Image,
ICCV05(I: 654-661).
IEEE DOI
Dataset, Recognition. The example data is available:
HTML Version. Kanade issue. Coarse properties (ground plane, sky, planar regions) from one image. Probabilistic approach to estimate 3D geometry so that not every possible view is needed.
Medical Dataset Archive,
2006. Dataset, Medical Images.
WWW Link. Variety of medical data. CT dataset available from related web site.
Visible Human Project,
1994. Dataset, Medical Images.
HTML Version. Complete data in MRI, CT, slices.
CR Chisto Labeled Nuclei Dataset,
Online2016
WWW Link. Dataset, Nuclei.
Dataset of colorectal cancer histology images consisting of nearly 30,000 dotted nuclei with over 22,000 labeled with the type of cell they belong to.
FIRE Fundus Image Registration Dataset,
2016
WWW Link. Dataset, Retinal. Dataset, Registration.
134 retinal image pairs and ground truth for registration.
Kauppi, T., Kalesnykiene, V., Kamarainen, J.K., Lensu, L., Sorri, I., Raninen, A., Voutilainen, R., Uusitalo, H., Kalviainen, H., Pietila, J.,
The DIARETDB1 diabetic retinopathy database and evaluation protocol,
BMVC07(xx-yy).
PDF File.
Dataset, Retina.
MiniMammographic Database,
1995
WWW Link. Dataset, Mammography.
DDSM: Digital Database for Screening Mammography,
2000, USF.
HTML Version. Dataset, Mammography.
Developing Human Connectome Project (dHCP),
2017
WWW Link. Dataset, fMRI. The imaging data includes structural imaging, structural connectivity data (diffusion MRI) and functional connectivity data (resting-state fMRI).
Andreopoulos, A.[Alexander], Tsotsos, J.K.[John K.],
Cardiac MRI dataset,
Online2008.
WWW Link. Dataset, Cardiac MRI.
CoronARe: A Coronary Artery Reconstruction Challenge,
2017. Dataset, Angiography.
WWW Link. 3D Reconstrucion challange dataset.
Hopkins 155,
Motion Dataset Online2007.
WWW Link. Dataset, Motion. Testing feature based motion segmentation algorithms. See also Johns Hopkins University.
Bondi, E., Jain, R., Aggrawal, P., Anand, S., Hannaford, R., Kapoor, A., Piavis, J., Shah, S., Joppa, L., Dilkina, B., Tambe, M.,
BIRDSAI: A Dataset for Detection and Tracking in Aerial Thermal Infrared Videos,
WACV20(1736-1745)
IEEE DOI
Dataset, Tracking. Videos, Cameras, Surveillance, Animals, Task analysis, Benchmark testing
UCF Parking Lot Tracking,
2012
WWW Link. Dataset, Tracking. Tracking multiple people in parking lot. See also Part-based multiple-person tracking with partial occlusion handling. See also GMCP-Tracker: Global Multi-object Tracking Using Generalized Minimum Clique Graphs.
Huang, Y.[Yan], Essa, I.A.[Irfan A.],
Tracking Multiple Objects through Occlusions,
CVPR05(II: 1051-1058).
IEEE DOI
WWW Link. Dataset, Actions.
And: CVPR05(II: 1182).
IEEE DOI
See also Georgia Tech.
Jaynes, C., Kale, A., Sanders, N., Grossmann, E.,
The Terrascope Dataset: Scripted Multi-Camera Indoor Video Surveillance with Ground-truth,
PETS05(309-316).
IEEE DOI
WWW Link.
Dataset, Surveillance.
Zimmermann, K.[Karel], Matas, J.G.[Jirí G.], Svoboda, T.[Thomáš],
Tracking by an Optimal Sequence of Linear Predictors,
PAMI(31), No. 4, April 2009, pp. 677-692.
IEEE DOI
Code, Tracking. Dataset, Tracking.
Earlier: A1, A3, A2:
Simultaneous learning of motion and appearance,
MLMotion08(xx-yy).
Earlier: A1, A3, A2:
Adaptive Parameter Optimization for Real-time Tracking,
NRTL07(1-8).
IEEE DOI
Earlier: A1, A3, A2:
Multiview 3D Tracking with an Incrementally Constructed 3D Model,
3DPVT06(488-495).
IEEE DOI
Learning approach to tracking. Estimation of the pose given the pose of the previous frame. Matlab implementation available.
WWW Link.
OTCBVS Benchmark Dataset Collection,
2001
WWW Link. Dataset, Tracking. Dataset, Face Recognition. Collection of datasets for benchmarking realted to the related conferences. Includes face dataset.
Dubuisson, S.[Séverine], Gonzales, C.[Christophe],
A survey of datasets for visual tracking,
MVA(27), No. 1, January 2016, pp. 23-52.
WWW Link.
Survey, Tracking. Dataset, Tracking.
Li, A., Lin, M., Wu, Y., Yang, M., Yan, S.,
NUS-PRO: A New Visual Tracking Challenge,
PAMI(38), No. 2, February 2016, pp. 335-349.
IEEE DOI
Dataset, Tracking. Airplanes
Lukezic, A., Kart, U., Käpylä, J., Durmush, A., Kamarainen, J., Matas, J., Kristan, M.,
CDTB: A Color and Depth Visual Object Tracking Dataset and Benchmark,
ICCV19(10012-10021)
IEEE DOI
Dataset, Tracking. image colour analysis, image sequences, object detection, object tracking, pose estimation, most diverse dataset, Robot sensing systems
Müller, M.[Matthias], Bibi, A.[Adel], Giancola, S.[Silvio], Alsubaihi, S.[Salman], Ghanem, B.[Bernard],
TrackingNet: A Large-Scale Dataset and Benchmark for Object Tracking in the Wild,
ECCV18(I: 310-327).
Springer DOI
Dataset, Tracking.
Valmadre, J.[Jack], Bertinetto, L.[Luca], Henriques, J.F.[João F.], Tao, R.[Ran], Vedaldi, A.[Andrea], Smeulders, A.W.M.[Arnold W. M.], Torr, P.H.S.[Philip H. S.], Gavves, E.[Efstratios],
Long-Term Tracking in the Wild: A Benchmark,
ECCV18(III: 692-707).
Springer DOI
Dataset, Tracking.
Zhang, S.[Shu], Staudt, E.[Elliot], Faltemier, T.[Tim], Roy-Chowdhury, A.K.[Amit K.],
A Camera Network Tracking (CamNeT) Dataset and Performance Baseline,
WACV15(365-372)
IEEE DOI
Dataset, Camera Tracking.
WWW Link. Cameras; Legged locomotion; Lighting; Target tracking; Trajectory; Videos
PETS Benchmark Datasets,
Online2006 Dataset:
HTML Version. Dataset, Surveillance. 2014 Dataset:
HTML Version. 2015 Dataset:
HTML Version. 2016 Dataset:
HTML Version.
MIT Pedestrian Database MITP,
Online2000
HTML Version. Dataset, Surveillance.
UCF Action Recogniton Dataset 101,
Online2012
WWW Link.
Earlier: UCF Action Recogniton Dataset 50,
Online2010
WWW Link. Dataset, Surveillance.
101 action categories, consisting of realistic videos taken from youtube. UCF 101 is an extension of UCF 50. Categories include: Baseball Pitch, Basketball Shooting, Bench Press, Biking, Biking, Billiards Shot,Breaststroke, Clean and Jerk, Diving, Drumming, Fencing, Golf Swing, Playing Guitar, High Jump, Horse Race, Horse Riding, Hula Hoop, Javelin Throw, Juggling Balls, Jump Rope, Jumping Jack, Kayaking, Lunges, Military Parade, Mixing Batter, Nun chucks, Playing Piano, Pizza Tossing, Pole Vault, Pommel Horse, Pull Ups, Punch, Push Ups, Rock Climbing Indoor, Rope Climbing, Rowing, Salsa Spins, Skate Boarding, Skiing, Skijet, Soccer, Juggling, Swing, Playing Tabla, TaiChi, Tennis Swing, Trampoline Jumping, Playing Violin, Volleyball Spiking, Walking with a dog, and Yo Yo. The printed reference: See also UCF101: A Dataset of 101 Human Action Classes from Videos in The Wild.
UCF-iPhone,
Online2012
WWW Link. Dataset, Surveillance.
Aerobic actions using the Inertial Measurement Unit (IMU) on an Apple iPhone. Biking, Climbing Stairs, Descending Stairs, Gym Biking, Jump Roping, Running, Standing, Treadmill Walking and Walking. See also Macro-Class Selection for Hierarchical K-NN Classification of Inertial Sensor Data. for the paper.
The KITTI Vision Benchmark Suite,
Online2013
WWW Link. Dataset, Road Scenes. Stereo, Lidar, GPS, etc. See also Vision meets robotics: The KITTI dataset.
Hollywood2 Human Actions and Scenes Dataset,
Online2016
WWW Link. Dataset, Surveillance.
Part originally from: See also Actions in context.
HMDB: a large human motion database,
Online2016
WWW Link. Dataset, Surveillance.
51 actions. See also HMDB: A large video database for human motion recognition.
TRECVID Workshop DAta,
Online2017
HTML Version. Dataset, Surveillance.
Surveillance datasets from 2001 to 2017.
Privacy-Preserving Visual Recognition PA-HMDB51,
Online2019.
WWW Link. Dataset, Actions. Dataset, Privacy. The dataset contains 592 videos selected from the HMDB51 dataset ( See also HMDB: A large video database for human motion recognition. ). For each video, we provide with frame-level annotation of five privacy attributes: skin color, gender, face, nudity, and relationship. See also Towards Privacy-Preserving Visual Recognition via Adversarial Training: A Pilot Study.
Kay, W.[Will], Carreira, J.[Joao], Simonyan, K.[Karen], Zhang, B.[Brian], Hillier, C.[Chloe], Vijayanarasimhan, S.[Sudheendra], Viola, F.[Fabio], Green, T.[Tim], Back, T.[Trevor], Natsev, P.[Paul], Suleyman, M.[Mustafa], Zisserman, A.[Andrew],
The Kinetics Human Action Video Dataset,
Online2019.
WWW Link. Dataset, Actions.
Tenorth, M.[Moritz], Bandouch, J.[Jan], Beetz, M.[Michael],
The TUM Kitchen Data Set of everyday manipulation activities for motion tracking and action recognition,
THEMIS09(1089-1096).
IEEE DOI
Dataset, Activity Recognition.
Guerra-Filho, G.[Gutemberg], Biswas, A.[Arnab],
The human motion database: A cognitive and parametric sampling of human motion,
IVC(30), No. 3, March 2012, pp. 251-261.
Elsevier DOI
Earlier: FG11(103-110).
IEEE DOI
Dataset, Activity Recognition. Human motion database; Quantitative evaluation; Parametric and cognitive sampling; Motion synthesis and analysis
Chaquet, J.M.[Jose M.], Carmona, E.J.[Enrique J.], Fernandez-Caballero, A.[Antonio],
A survey of video datasets for human action and activity recognition,
CVIU(117), No. 6, June 2013, pp. 633-659.
Elsevier DOI
Survey, Activity Recognition. Dataset, Activity Recognition. Human action recognition; Human activity recognition; Database; Dataset; Review; Survey
Chavarriaga, R.[Ricardo], Sagha, H.[Hesam], Calatroni, A.[Alberto], Digumarti, S.T.[Sundara Tejaswi], Tröster, G.[Gerhard], del R. Millán, J.[José], Roggen, D.[Daniel],
The Opportunity challenge: A benchmark database for on-body sensor-based activity recognition,
PRL(34), No. 15, 2013, pp. 2033-2042.
Elsevier DOI
Dataset, Activity Recognition. Activity recognition
Barrett, D.P.[Daniel Paul], Xu, R.[Ran], Yu, H.N.[Hao-Nan], Siskind, J.M.[Jeffrey Mark],
Collecting and annotating the large continuous action dataset,
MVA(27), No. 7, October 2016, pp. 983-995.
Springer DOI
Dataset, Actions. LCA Dataset.
Hadfield, S.[Simon], Lebeda, K.[Karel], Bowden, R.[Richard],
Hollywood 3D: What are the Best 3D Features for Action Recognition?,
IJCV(121), No. 1, January 2017, pp. 95-110.
Springer DOI
Earlier: A1, A3, Only:
Hollywood 3D: Recognizing Actions in 3D Natural Scenes,
CVPR13(3398-3405)
IEEE DOI
Dataset, Attion Recognition. Hollywood3D dataset. 3.5d
Patino, L.[Luis], Ferryman, J.M.[James M.],
PETS 2014: Dataset and challenge,
AVSS14(355-360)
IEEE DOI
Dataset, Surveillance. Cameras
Per, J.[Janez], Kenk, V.S.[Vildana Sulic], Mandeljc, R.[Rok], Kristan, M.[Matej], Kovacic, S.[Stanislav],
Dana36: A Multi-camera Image Dataset for Object Identification in Surveillance Scenarios,
AVSS12(64-69).
IEEE DOI
Dataset,Surveillance.
Liu, C.[Ce], Freeman, W.T.[William T.], Adelson, E.H.[Edward H.], Weiss, Y.[Yair],
Human-assisted motion annotation,
CVPR08(1-8).
IEEE DOI
Dataset, Motion.
WWW Link. Motion annotation then applied to datasets to provide ground truth.
LHI Surveillance Dataset,
Annotated surveillance images. Online2008
HTML Version. Dataset, Segmentation. Subset of larger dataset. See also Lotus Hill Institute.
CLEAR: Classification of Events, Activities and Relationships,
MTPH07
WWW Link. Dataset, Activity Recogniton.
i-LIDS: Bag and vehicle detection challenge,
Online2007 AVSBS07
HTML Version. Dataset, Activity Recogniton. Data used at Advanced Video and Signal Based Surveillance, 2007.
Multimedia Event Detection,
Series of Event and Activity Detection evaluations.
WWW Link.
WWW Link.
WWW Link. Dataset, Activity Recogniton. MED13, MED12, MED11.
Multiview Extended Video with Activities,
MEVA Test 3:
WWW Link. Dataset, Activity Recogniton. Dataset, MEVA. 333 hours of ground-camera and UAV videos and 28 hours of MEVA training Annotations dataset.
PETS 2006 Benchmark Data,
Online2006 PETS06
HTML Version. Dataset, Activity Recogniton. Data used at International Workshop on Performance Evaluation of Tracking and Surveillance 2006.
PETS 2001 Benchmark Data,
Online2001 PETS01
WWW Link. Dataset, Activity Recogniton. Data used at International Workshop on Performance Evaluation of Tracking and Surveillance 2001.
OTCBVS Benchmark Dataset Collection,
OTCBVS072007
WWW Link. Dataset, Activity Recogniton. Beyound the Visual Spectrum (IR especially). Data for various OTCBVS workshops.
YouTube-8M Dataset,
Labed video dataset.
WWW Link. Dataset, Video Database. 4700+ visual entities.
Fisher, R.B.[Robert B.],
CAVIAR Test Case Scenarios,
Online BookOctober 2004.
WWW Link. Dataset, Video. From the EC funded CAVIAR project (Context Aware Vision using Image-based Active Recognition). The sequences are labelled (in XML) with both the tracked persons and a semantic description of their activities. 81 video sequences comprising about 90K frames. These sequences include indoor plaza and shopping center observations of individuals and small groups of people walking, browsing, window shopping, fighting, meeting, leaving packages behind, collapsing, entering and exiting shops, etc.
Optic Flow Data,
Edinburgh2007. Smoothed flow sequences for the Waverly train station scene.
WWW Link. Dataset, Video. Behavior, pedestrian analysis.
BEHAVE Interactions Test Case Scenarios,
Edinburgh2007. Two views of various scenarios of people acting out various interactions.
WWW Link. Dataset, Video. Behavior, pedestrian analysis. Includes ground truth bounding boxes for much of the data.
Sigal, L.[Leonid], Balan, A.O.[Alexandru O.], Black, M.J.[Michael J.],
HumanEva: Synchronized Video and Motion Capture Dataset and Baseline Algorithm for Evaluation of Articulated Human Motion,
IJCV(87), No. 1-2, March 2010, pp. xx-yy.
Springer DOI
Dataset, Human Motion.
Earlier: A1, A3, Only:
HumanEva: Synchronized Video and Motion Capture Dataset for Evaluation of Articulated Human Motion,
BrownTechnical Report CS-06-08, September 2006.
HTML Version. For the dataset:
HTML Version. Calibrated video sequences synchronized with motion capture data.
Li, L.Z.[Long-Zhen], Nawaz, T.[Tahir], Ferryman, J.M.,
PETS 2015: Datasets and challenge,
AVSS15(1-6)
IEEE DOI
Dataset, PETS 2015. object detection
Oh, S.M.[Sang-Min], Hoogs, A.[Anthony], Perera, A.[Amitha], Cuntoor, N.[Naresh], Chen, C.C.[Chia-Chih], Lee, J.T.[Jong Taek], Mukherjee, S.[Saurajit], Aggarwal, J.K., Lee, H.T.[Hyung-Tae], Davis, L.S.[Larry S.], Swears, E.[Eran], Wang, X.Y.[Xiao-Yang], Ji, Q.A.[Qi-Ang], Reddy, K.K.[Kishore K.], Shah, M.[Mubarak], Vondrick, C.[Carl], Pirsiavash, H.[Hamed], Ramanan, D.[Deva], Yuen, J.[Jenny], Torralba, A.B.[Antonio B.], Song, B.[Bi], Fong, A.[Anesco], Roy-Chowdhury, A.[Amit], Desai, M.[Mita],
A large-scale benchmark dataset for event recognition in surveillance video,
CVPR11(3153-3160).
IEEE DOI
And: AVSBS11(527-528).
IEEE DOI
Dataset, Action Recognition. Dataset, Event Recognition.
MIT Car Database MITC,
Online2000
HTML Version. Dataset, Vehicles.
PKU-VD Dataset,
2017 HTML Version.
Dataset, Vehicles. VD1: 1,097,649 images. 1,232 vehicle models and 11 colors. VD2: 807,260 images. 1,112 vehicle models and 11 colors. Reference: See also Exploiting Multi-grain Ranking Constraints for Precisely Searching Visually-similar Vehicles.
PKU VehicleID Dataset,
2016 HTML Version.
Dataset, Vehicles. 10319 vehicles, 90196 images. Reference: See also Deep Relative Distance Learning: Tell the Difference between Similar Vehicles.
Struwe, M.[Marvin], Hasler, S.[Stephan], Bauer-Wersing, U.[Ute],
Rendered Benchmark Data Set for Evaluation of Occlusion-Handling Strategies of a Parts-Based Car Detector,
PSIVT15(99-110).
Springer DOI
Dataset, Vehicle Detection.
Racing Bicycle Detection/Tracking from UAV Footage, UAV Detection,
Motion Datasets Online2019.
HTML Version. Dataset, Vehicle Tracking. Dataset, Drone Detection. Multiple datasets. UAV detection against variety of backgrounds. See also MULTIDRONE.
Behrendt, K.,
Boxy Vehicle Detection in Large Images,
CVRSUAD19(840-846)
IEEE DOI
Dataset, Vehicles.
WWW Link. cameras, image resolution, image segmentation, object detection, road vehicles, traffic engineering computing, individual teams, dataset
UA-DETRAC Benchmark Suite,
2016.
WWW Link. Dataset, Traffic.
See also UA-DETRAC 2017: Report of AVSS2017 IWT4S Challenge on Advanced Traffic Monitoring.
Neuhold, G.[Gerhard], Ollmann, T.[Tobias], Bulò, S.R.[Samuel Rota], Kontschieder, P.[Peter],
The Mapillary Vistas Dataset for Semantic Understanding of Street Scenes,
ICCV17(5000-5009)
IEEE DOI
Dataset, Traffic. 25,000 images, 66 categories. computational geometry, data visualisation, image annotation, image resolution, image segmentation, road traffic, Visualization
Koschorrek, P.[Philipp], Piccini, T.[Tommaso], Oberg, P.[Per], Felsberg, M.[Michael], Nielsen, L.[Lars], Mester, R.[Rudolf],
A Multi-sensor Traffic Scene Dataset with Omnidirectional Video,
GT13(727-734)
IEEE DOI
Dataset, Traffic. automotive
Da Cruz, S.D.[Steve Dias], Wasenmüller, O.[Oliver], Beise, H.P.[Hans-Peter], Stifter, T.[Thomas], Stricker, D.[Didier],
SVIRO: Synthetic Vehicle Interior Rear Seat Occupancy Dataset and Benchmark,
WACV20(962-971)
IEEE DOI
Dataset, Vehicle Surveilance.
WWW Link. Task analysis, Benchmark testing, Training, Automobiles, Cameras, Lightning
Massoz, Q., Langohr, T., Francois, C., Verly, J.G.,
The ULg multimodality drowsiness database (called DROZY) and examples of use,
WACV16(1-7)
IEEE DOI
Dataset, Driver Monitoring. Cameras
Xu, Z.B.[Zhen-Bo], Yang, W.[Wei], Meng, A.[Ajin], Lu, N.[Nanxue], Huang, H.[Huan], Ying, C.C.[Chang-Chun], Huang, L.S.[Liu-Sheng],
Towards End-to-End License Plate Detection and Recognition: A Large Dataset and Baseline,
ECCV18(XIII: 261-277).
Springer DOI
Dataset, License Plates.
Zelnik-Manor, L.[Lihi], Irani, M.[Michal],
Statistical Analysis of Dynamic Actions,
PAMI(28), No. 9, September 2006, pp. 1530-1535.
IEEE DOI
Earlier:
Degeneracies, dependencies and their implications in multi-body and multi-sequence factorizations,
Weinland, D.[Daniel], Ronfard, R.[Remi], Boyer, E.[Edmond],
Free viewpoint action recognition using motion history volumes,
CVIU(103), No. 2-3, November-December 2006, pp. 249-257.
Elsevier DOI
Dataset, Action Recognition.
WWW Link.
Earlier:
Automatic Discovery of Action Taxonomies from Multiple Views,
CVPR06(II: 1639-1645).
IEEE DOI
And: A1, A3, A2:
Action Recognition from Arbitrary Views using 3D Exemplars,
ICCV07(1-7).
IEEE DOI
Action recognition; View invariance; Volumetric reconstruction
Yu, L., Yang, Y., Huang, Z., Wang, P., Song, J., Shen, H.T.,
Web Video Event Recognition by Semantic Analysis From Ubiquitous Documents,
IP(25), No. 12, December 2016, pp. 5689-5701.
IEEE DOI
Dataset, Video Events. UQE50 Dataset. UQ Event database with 50 pre-defined video events. Internet
Bossard, L.[Lukas], Guillaumin, M.[Matthieu], Van Gool, L.J.[Luc J.],
Event Recognition in Photo Collections with a Stopwatch HMM,
ICCV13(1193-1200)
IEEE DOI
Dataset, Event Recognition. 61,000 images in 807 collections, with 14 social event classes.
Shi, Y.F.[Yi-Fan], Huang, Y.[Yan], Minnen, D., Bobick, A.F., Essa, I.A.,
Propagation networks for recognition of partially ordered sequential action,
CVPR04(II: 862-869).
IEEE DOI
HTML Version. Dataset, Actions.
See also Georgia Tech.
VIPeR: Viewpoint Invariant Pedestrian Recognition,
Pedestrian dataset. 2007. WWW Link.
Dataset, Pedestrians.
Wang, D.[Dan], Zhang, C.Y.[Chong-Yang], Cheng, H.[Hao], Shang, Y.F.[Yan-Feng], Mei, L.[Lin],
SPID: Surveillance Pedestrian Image Dataset and Performance Evaluation for Pedestrian Detection,
BEST16(III: 463-477).
Springer DOI
Dataset, Pedestrians.
Kliper-Gross, O.[Orit], Hassner, T.[Tal], Wolf, L.B.[Lior B.],
The Action Similarity Labeling Challenge,
PAMI(34), No. 3, March 2012, pp. 615-621.
IEEE DOI
Dataset, Action Recognition. Labeled dataset. Same/not-same rather than recognition.
Distante, C.[Cosimo], Diraco, G.[Giovanni], Leone, A.[Alessandro],
Active Range Imaging Dataset for Indoor Surveillance,
BMVA(2010), No. 3, 2010, pp. 1-14.
PDF File.
Dataset, Action Recognition.
Blunsden, S.[Scott], Fisher, R.B.[Robert B.],
The BEHAVE video dataset: Ground truthed video for multi-person behavior classification,
BMVA(2010), No. 4, 2010, pp. 1-12.
PDF File.
Dataset, Action Recognition.
Hwang, S.[Soonmin], Park, J.[Jaesik], Kim, N.[Namil], Choi, Y.[Yukyung], Kweon, I.S.[In So],
Multispectral pedestrian detection: Benchmark dataset and baseline,
CVPR15(1037-1045)
IEEE DOI
Dataset, Pedestrian Detection.
Wallraven, C.[Christian], Schultze, M.[Michael], Mohler, B.[Betty], Vatakis, A.[Argiro], Pastra, K.[Katerina],
The POETICON enacted scenario corpus: A tool for human and computational experiments on action understanding,
FG11(484-491).
IEEE DOI
Dataset, Actions.
Munder, S., Gavrila, D.M.[Dariu M.],
An Experimental Study on Pedestrian Classification,
PAMI(28), No. 11, November 2006, pp. 1863-1868.
IEEE DOI
PDF File.
Dataset available:
HTML Version. Dataset, Pedestrians. DaimlerChrysler Res. Investigate global versus local and adaptive versus nonadaptive features. PCA coefficients, Haar wavelets, and local receptive fields (LRFs). SVM, Neural Nets, K-NN classifiers. Combination of SVMs with LRF features performs best. And boosted cascade of Haar wavelets is close.
Daimler Pedestrian Detection Benchmark,
2009.
HTML Version. Dataset, Pedestrian Detection. Dataset, Surveillance. See also Daimler. Training set: 15,560 pedestrian and non-pedestrian samples. 6744 additional images. Test set: a sequence with more than 21,790 images with 56,492 pedestrian labels. From a vehicle in 27 minutes of urban driving. VGA resolution. Dataset used in: See also Monocular Pedestrian Detection: Survey and Experiments.
Edinburgh Informatics Forum Pedestrian Database,
2010.
WWW Link. Dataset, Human Tracking. Dataset, Surveillance. Overhead views, of a building atrium. Several months of observations, with trajectories (computed).
Dalal, N.[Navneet],
INRIA Person Dataset,
Online2005
WWW Link. Dataset, Human Motion. The collected dataset for the above paper, from various sources.
Wu, Y.[Yang], Liu, Y.L.[Yuan-Liu], Yuan, Z.J.[Ze-Jian], Zheng, N.N.[Nan-Ning],
IAIR-CarPed: A psychophysically annotated dataset with fine-grained and layered semantic labels for object recognition,
PRL(33), No. 2, 15 January 2012, pp. 218-226.
Elsevier DOI
Dataset, Pedestrian Detection. Object recognition; Image database; Object detection; Pedestrian detection; Psychophysical experiments
García-Martín, Á.[Álvaro], Martínez, J.M.[José M.], Bescós, J.[Jesús],
A corpus for benchmarking of people detection algorithms,
PRL(33), No. 2, 15 January 2012, pp. 152-156.
Elsevier DOI
Dataset, Person Detection. People detection; Ground-truth; Corpus; Dataset; Surveillance video
Sindagi, V., Yasarla, R., Patel, V.,
Pushing the Frontiers of Unconstrained Crowd Counting: New Dataset and Benchmark Method,
ICCV19(1221-1231)
IEEE DOI
Dataset, Crowd Counting. feature extraction, image classification, learning (artificial intelligence), object detection, Error analysis
Rasouli, A., Kotseruba, I., Kunic, T., Tsotsos, J.,
PIE: A Large-Scale Dataset and Models for Pedestrian Intention Estimation and Trajectory Prediction,
ICCV19(6261-6270)
IEEE DOI
Dataset, Pedestrians.
WWW Link. computer vision, intelligent transportation systems, pedestrians, large-scale dataset, pedestrian intention estimation, Vehicle dynamics
Zheng, L.[Liang], Bie, Z.[Zhi], Sun, Y.F.[Yi-Fan], Wang, J.D.[Jing-Dong], Su, C.[Chi], Wang, S.J.[Sheng-Jin], Tian, Q.[Qi],
MARS: A Video Benchmark for Large-Scale Person Re-Identification,
ECCV16(VI: 868-884).
Springer DOI
Dataset, Re-Identification.
Figueira, D.[Dario], Taiana, M.[Matteo], Nambiar, A.[Athira], Nascimento, J.C.[Jacinto C.], Bernardino, A.[Alexandre],
The HDA+ Data Set for Research on Fully Automated Re-identification Systems,
Re-Id14(241-255).
Springer DOI
Dataset, Re-Identification.
Ragheb, H.[Hossein], Velastin, S.A.[Sergio A.], Remagnino, P.[Paolo], Ellis, T.[Tim],
Human action recognition using robust power spectrum features,
ICIP08(753-756).
IEEE DOI
And:
ViHASi: Virtual human action silhouette data for the performance evaluation of silhouette-based action recognition methods,
ICDSC08(1-10).
IEEE DOI
And: VNBA08(77-84).
DOI Link
And:
A Novel Approach for Fast Action Recognition using Simple Features,
VS08(xx-yy).
Dataset, Action Recognition. Silhouette based action recognition.
Chakraborty, A.[Anirban], Das, A.[Abir], Roy-Chowdhury, A.K.[Amit K.],
Network Consistent Data Association,
PAMI(38), No. 9, September 2016, pp. 1859-1871.
IEEE DOI
Earlier: A2, A1, A3:
Consistent Re-identification in a Camera Network,
ECCV14(II: 330-345).
Springer DOI
Dataset, Re-Identification.
WWW Link.
Bialkowski, A., Denman, S., Sridharan, S., Fookes, C., Lucey, P.,
A Database for Person Re-Identification in Multi-Camera Surveillance Networks,
DICTA12(1-8).
IEEE DOI
Dataset, Re-Identification.
Gou, M., Karanam, S., Liu, W., Camps, O., Radke, R.J.,
DukeMTMC4ReID: A Large-Scale Multi-camera Person Re-identification Dataset,
Re-Id17(1425-1434)
IEEE DOI
Dataset, Re-Identification. Airports, Benchmark testing, Cameras, Detectors, Feature extraction, Measurement, Surveillance
Truong, C.[Charles], Barrois-Müller, R.[Rémi], Moreau, T.[Thomas], Provost, C.[Clément], Vienne-Jumeau, A.[Aliénor], Moreau, A.[Albane], Vidal, P.P.[Pierre-Paul], Vayatis, N.[Nicolas], Buffat, S.[Stéphane], Yelnik, A.[Alain], Ricard, D.[Damien], Oudre, L.[Laurent],
A Data Set for the Study of Human Locomotion with Inertial Measurements Units,
IPOL(9), 2019, pp. 381-390.
DOI Link
Dataset, Gait. Data set of 1020 multivariate gait signals collected with two inertial measurement units, from 230 subjects undergoing a fixed protocol: standing still, walking 10 m, turning around, walking back and stopping. In total, 8.5~h of gait time series are distributed.
Baseline Algorithm and Performance for Gait Based Human ID Challenge Problem,
2004, USF.
WWW Link. Dataset, Gait. Code, Gait.
Seely, R.D.[Richard D.], Samangooei, S.[Sina], Middleton, L.[Lee], Carter, J.N.[John N.], Nixon, M.S.[Mark S.],
The University of Southampton Multi-Biometric Tunnel and introducing a novel 3D gait dataset,
BTAS08(1-6).
IEEE DOI
Dataset, Gait Recognition.
CMU Graphics Lab Motion Capture Database,
2004.
WWW Link. Dataset, Motion Capture. Code, Motion Capture. 2000+ examples of motion capture data. Includes some software.
Hofmann, M.[Martin], Geiger, J.[Jürgen], Bachmann, S.[Sebastian], Schuller, B.[Björn], Rigoll, G.[Gerhard],
The TUM Gait from Audio, Image and Depth (GAID) database: Multimodal recognition of subjects and traits,
JVCIR(25), No. 1, 2014, pp. 195-206.
Elsevier DOI
Dataset, Gait. Gait recognition
Kuehne, H., Jhuang, H., Garrote, E., Poggio, T., Serre, T.,
HMDB: A large video database for human motion recognition,
ICCV11(2556-2563).
IEEE DOI
Dataset, Action Recognition. The internet has billions of videos, most recognition datasets have a dozen. The dataset itself: See also HMDB: a large human motion database.
Edinburgh Ceilidh Overhead Video Data,
Dataset, Dance.
WWW Link.
16 ground-truthed dances viewed from overhead, where the 10 dancers follow a structured dance pattern (2 different dances). The dances are in the Scottish Ceilidh style (somewhat similar to American Square Dancing).
Gorelick, L.[Lena], Blank, M.[Moshe], Shechtman, E.[Eli], Irani, M.[Michal], Basri, R.[Ronen],
Actions as Space-Time Shapes,
PAMI(29), No. 12, December 2007, pp. 2247-2253.
IEEE DOI
Dataset, Actions.
HTML Version.
Earlier: A2, A1, A3, A4, A5: ICCV05(II: 1395-1402).
IEEE DOI
Human action as 3-D shapes induced by silhouettes in the spacetime volume.
de la Torre-Frade, F.[Fernando], Hodgins, J.K.[Jessica K.], Bargteil, A.W.[Adam W.], Artal, X.M.[Xavier Martin], Macey, J.C.[Justin C.], Collado I Castells, A.[Alexandre], and Beltran, J.[Josep],
Guide to the Carnegie Mellon University Multimodal Activity (CMU-MMAC) Database,
CMU-RI-TR-08-22, April, 2008.
WWW Link. Dataset, Activity Recognition.
Shahroudy, A.[Amir], Liu, J., Ng, T.T.[Tian-Tsong], Wang, G.,
NTU RGB+D: A Large Scale Dataset for 3D Human Activity Analysis,
CVPR16(1010-1019)
IEEE DOI
Dataset, Human Activity.
Damen, D.[Dima], Doughty, H.[Hazel], Farinella, G.M.[Giovanni Maria], Fidler, S.[Sanja], Furnari, A.[Antonino], Kazakos, E.[Evangelos], Moltisanti, D.[Davide], Munro, J.[Jonathan], Perrett, T.[Toby], Price, W.[Will], Wray, M.[Michael],
Scaling Egocentric Vision: The Epic Kitchens Dataset,
ECCV18(II: 753-771).
Springer DOI
Dataset, Egocentric Actions.
Zhang, J.[Jing], Li, W.Q.[Wan-Qing], Ogunbona, P.O.[Philip O.], Wang, P.[Pichao], Tang, C.[Chang],
RGB-D-based action recognition datasets: A survey,
PR(60), No. 1, 2016, pp. 86-105.
Elsevier DOI
Dataset, Action Recognition. Action recognition
Laptev, I.[Ivan], Caputo, B.[Barbara], Schuldt, C.[Christian], Lindeberg, T.[Tony],
Local velocity-adapted motion events for spatio-temporal recognition,
CVIU(108), No. 3, December 2007, pp. 207-229.
Elsevier DOI
Earlier: A3, A1, A2, Only:
Recognizing human actions: a local SVM approach,
ICPR04(III: 32-36).
IEEE DOI
Dataset, Actions.
WWW Link. Motion; Local features; Motion descriptors; Matching; Velocity adaptation; Action recognition; Learning; SVM
Li, W.H.[Wen-Hui], Wong, Y.K.[Yong-Kang], Liu, A.A.[An-An], Li, Y.[Yang], Su, Y.T.[Yu-Ting], Kankanhalli, M.[Mohan],
Multi-Camera Action Dataset for Cross-Camera Action Recognition Benchmarking,
WACV17(187-196)
IEEE DOI
Dataset, Action Recognition.
HTML Version. Multi-Camera Action Dataset (MCAD). Benchmark testing, Cameras, Computer vision, Heuristic algorithms, Internet, Robustness, Surveillance
Barekatain, M., Martí, M., Shih, H.F., Murray, S., Nakayama, K., Matsuo, Y., Prendinger, H.,
Okutama-Action: An Aerial View Video Dataset for Concurrent Human Action Detection,
PETS17(2153-2160)
IEEE DOI
Dataset, Okutama-Action. Cameras, Data collection, Mobile communication, Surveillance, Training, Video, sequences
Zhao, H., Torralba, A., Torresani, L., Yan, Z.,
HACS: Human Action Clips and Segments Dataset for Recognition and Temporal Localization,
ICCV19(8667-8677)
IEEE DOI
Dataset, Human Actions. image classification, image motion analysis, image segmentation, learning (artificial intelligence), video signal processing, YouTube
Kong, Q., Wu, Z., Deng, Z., Klinkigt, M., Tong, B., Murakami, T.,
MMAct: A Large-Scale Dataset for Cross Modal Human Action Understanding,
ICCV19(8657-8666)
IEEE DOI
Dataset, Human Actions. image colour analysis, image motion analysis, image recognition, video signal processing, RGB videos, Task analysis
Ofli, F., Chaudhry, R., Kurillo, G., Vidal, R., Bajcsy, R.,
Berkeley MHAD: A comprehensive Multimodal Human Action Database,
WACV13(53-60).
IEEE DOI
Dataset, Human Actions.
Vaquette, G., Orcesi, A., Lucat, L., Achard, C.,
The DAily Home LIfe Activity Dataset: A High Semantic Activity Dataset for Online Recognition,
FG17(497-504)
IEEE DOI
Dataset, Smart Home. Cameras, Databases, Protocols, Semantics, Sensors, Skeleton, Videos
Gong, W.J.[Wen-Juan], Gonzàlez, J.[Jordi], Tavares, J.M.R.S.[João Manuel R.S.], Xavier Roca, F.,
A New Image Dataset on Human Interactions,
AMDO12(204-209).
Springer DOI
Dataset, Action Recognition.
Burger, S.[Susanne],
The CHIL RT07 Evaluation Data,
MTPH07(xx-yy).
Springer DOI
Dataset, Activity Recogniton.
CVBASE Annotated Video Data,
2006.
HTML Version. Dataset, Video.
Olympic Sports Dataset,
2010
WWW Link. Dataset, Sports. The Olympic Sports Dataset contains videos of athletes practicing different sports. We have obtained all video sequences from YouTube and annotated their class label with the help of Amazon Mechanical Turk. Refer to: See also Modeling Temporal Structure of Decomposable Motion Segments for Activity Classification.
UCF Sports Action Dataset,
2008.
WWW Link. Details:
WWW Link. A large set of sports actions. Dataset, Sports. Note that many of the other non UCF links to data on that page are out of date.
LHI Sports Activity Dataset,
Subset of larger dataset. Online2008
HTML Version. Dataset, Sports. See also Lotus Hill Institute.
MEXaction2 action detection and localization dataset,
2015.
WWW Link. Dataset, Actions. The aim of the MEXaction2 dataset is to support the development and evaluation of methods for spotting instances of short actions in a relatively large video database. Actions: BullChargeCape (1324) and HorseRiding (651).
Zhang, W.C.[Wei-Chen], Liu, Z.G.[Zhi-Guang], Zhou, L.Y.[Liu-Yang], Leung, H.[Howard], Chan, A.B.[Antoni B.],
Martial Arts, Dancing and Sports dataset: A challenging stereo and multi-view dataset for 3D human pose estimation,
IVC(61), No. 1, 2017, pp. 22-39.
Elsevier DOI
Dataset, Human Activities. Human pose estimation
Zalluhoglu, C.[Cemil], Ikizler-Cinbis, N.[Nazli],
Collective Sports: A multi-task dataset for collective activity recognition,
IVC(94), 2020, pp. 103870.
Elsevier DOI
Dataset, Sports. Collective activity recognition, Action recognition, Convolutional neural networks, Multi-task learning, LSTM
Setti, F.[Francesco], Conigliaro, D.[Davide], Rota, P.[Paolo], Bassetti, C.[Chiara], Conci, N.[Nicola], Sebe, N.[Nicu], Cristani, M.[Marco],
The S-Hock dataset: A new benchmark for spectator crowd analysis,
CVIU(159), No. 1, 2017, pp. 47-58.
Elsevier DOI
Dataset, Crowd Analysis.
Earlier: A2, A3, A1, A4, A5, A6, A7:
The S-HOCK dataset: Analyzing crowds at the stadium,
CVPR15(2039-2047)
IEEE DOI
Spectator, monitoring
Ali, S.[Saad], Shah, M.[Mubarak],
Floor Fields for Tracking in High Density Crowd Scenes,
ECCV08(II: 1-14).
Springer DOI
PDF File.
Dataset, Tracking.
WWW Link.
Ali, S.[Saad], Shah, M.[Mubarak],
A Lagrangian Particle Dynamics Approach for Crowd Flow Segmentation and Stability Analysis,
CVPR07(1-6).
IEEE DOI
PDF File. Dataset, Surveillance. The dataset for this paper is available:
WWW Link. UCF Lists:
WWW Link. But no link to data.
Ali, S.[Saad],
Crowd Flow Segmentation and Stability Analysis,
Online2007
HTML Version. The more general discussion of the issues of the other papers. Includes a more complete dataset and pointers to other useful code. Dataset, Surveillance.
WWW Link.
Ntalampiras, S.[Stavros], Arsic, D.[Dejan], Hofmann, M.[Martin], Andersson, M.[Maria], Ganchev, T.[Todor],
PROMETHEUS: heterogeneous sensor database in support of research on human behavioral patterns in unrestricted environments,
SIViP(8), No. 7, October 2014, pp. 1211-1231.
Springer DOI
Dataset, Human Activity.
Penate-Sanchez, A.[Adrian], Freire-Obregón, D.[David], Lorenzo-Melián, A.[Adrián], Lorenzo-Navarro, J.[Javier], Castrillón-Santana, M.[Modesto],
TGC20ReId: A dataset for sport event re-identification in the wild,
PRL(138), 2020, pp. 355-361.
Elsevier DOI
Dataset, Sports. Sport, Re-identification, Dataset
Abrams, A.[Austin], Tucek, J.[Jim], Little, J.[Joshua], Jacobs, N.[Nathan], Pless, R.[Robert],
LOST: Longterm Observation of Scenes (with Tracks),
WACV12(297-304).
IEEE DOI
Using the data, same half hour every day. Dataset, Surveillance.
Rebecq, H.[Henri], Ranftl, R.[Rene], Koltun, V.[Vladlen], Scaramuzza, D.[Davide],
High Speed and High Dynamic Range Video with an Event Camera,
To Appear, PAMI,
Earlier:
Events-To-Video: Bringing Modern Computer Vision to Event Cameras,
CVPR19(3852-3861).
IEEE DOI
Code, HDR. Dataset, HDR. Dataset, E2VID.
HTML Version.
DAVIS: Densely Annotated VIdeo Segmentation,
WWW Link.
2017. Dataset, Video Segmentation. For the competition at CVPR 2017.
Perazzi, F.[Federico], Pont-Tuset, J., McWilliams, B., Van Gool, L.J., Gross, M., Sorkine-Hornung, A.[Alexander],
A Benchmark Dataset and Evaluation Methodology for Video Object Segmentation,
CVPR16(724-732)
IEEE DOI
Dataset, Video Segmentation.
Change Detection Benchmark Website,
2012 Dataset, Motion Detection.
WWW Link. Dataset for the 2012 Change Detection workshop at CVPR.
Scene Background Initialization (SBI) Dataset,
2016
HTML Version. Dataset, Background.
14 sequences with ground truth. See also Towards Benchmarking Scene Background Initialization.
Mahmood, M.H.[Muhammad Habib], Díez, Y.[Yago], Salvi, J.[Joaquim], Lladó, X.[Xavier],
A collection of challenging motion segmentation benchmark datasets,
PR(61), No. 1, 2017, pp. 1-14.
Elsevier DOI
Dataset, Motion Segmentation. Motion segmentation
Mahmood, M.H.[Muhammad Habib], Zappella, L.[Luca], Díez, Y.[Yago], Salvi, J.[Joaquim], Lladó, X.[Xavier],
A New Trajectory Based Motion Segmentation Benchmark Dataset (UdG-MS15),
IbPRIA15(463-470).
Springer DOI
Dataset, Motion Segmentation.
Cuevas, C.[Carlos], Yáñez, E.M.[Eva María], García, N.[Narciso],
Labeled dataset for integral evaluation of moving object detection algorithms: LASIESTA,
CVIU(152), No. 1, 2016, pp. 103-117.
Elsevier DOI
Dataset, Foreground Detection. Database
Vacavant, A.[Antoine], Chateau, T.[Thierry], Wilhelm, A.[Alexis], Lequièvre, L.[Laurent],
A Benchmark Dataset for Outdoor Foreground/Background Extraction,
BMC12(I:291-300).
Springer DOI
Dataset, Foreground Extraction. Surveillance applications.
Image Stitching Database,
2010
HTML Version. Dataset, Image Stitching.
Richter, S.R.[Stephan R.], Hayder, Z.[Zeeshan], Koltun, V.[Vladlen],
Playing for Benchmarks,
ICCV17(2232-2241)
IEEE DOI
Dataset, Video. image annotation, image resolution, image segmentation, image sequences, object detection, object tracking,
Stottinger, J.[Julian], Zambanini, S.[Sebastian], Khan, R.[Rehanullah], Hanbury, A.[Allan],
FeEval A Dataset for Evaluation of Spatio-temporal Local Features,
ICPR10(499-502).
IEEE DOI
Dataset, Motion.
Avola, D., Cinque, L., Foresti, G.L., Martinel, N., Pannone, D., Piciarelli, C.,
A UAV Video Dataset for Mosaicking and Change Detection From Low-Altitude Flights,
SMCS(50), No. 6, June 2020, pp. 2139-2149.
IEEE DOI
Dataset, Change Detection. Video sequences, Change detection algorithms, Cameras, Detection algorithms, Task analysis, Telemetry, unmanned aerial vehicle (UAV)
SuperTex136,
2016
WWW Link. Dataset, Superresolution. Refer to: See also Jointly Optimized Regressors for Image Super-resolution.
Wang, Y.Q.[Ying-Qian], Wang, L.G.[Long-Guang], Yang, J.G.[Jun-Gang], An, W.[Wei], Guo, Y.L.[Yu-Lan],
Flickr1024: A Large-Scale Dataset for Stereo Image Super-Resolution,
CLI19(3852-3857)
IEEE DOI
Dataset, Flickr. Dataset, Super Resolution.
WWW Link. cameras, data acquisition, image resolution, stereo image processing, large-scale stereo dataset, super resolution
Set5, Set14, Urban 100, BSD 100, Sun-Hays 80 Datasets,
Dataset, Super Resolution. Linkd from:
WWW Link.
Xiao, J.X.[Jian-Xiong], Owens, A.[Andrew], Torralba, A.[Antonio],
SUN3D: A Database of Big Spaces Reconstructed Using SfM and Object Labels,
ICCV13(1625-1632)
IEEE DOI
Dataset, Scene Understanding.
WWW Link. RGB-D Video dataset. Camera pose and object labels. Interactive reconstruction process.
Shugrina, M.[Maria], Liang, Z.H.[Zi-Heng], Kar, A.[Amlan], Li, J.[Jiaman], Singh, A.[Angad], Singh, K.[Karan], Fidler, S.[Sanja],
Creative Flow+ Dataset,
CVPR19(5379-5388).
IEEE DOI
Dataset, Optical Flow.
WWW Link. Video dataset richly labeled with per-pixel optical flow, occlusions, correspondences, segmentation labels, normals, and depth.
Mayer, N.[Nikolaus], Ilg, E.[Eddy], Häusser, P.[Philip], Fischer, P.[Philipp], Cremers, D.[Daniel], Dosovitskiy, A.[Alexey], Brox, T.[Thomas],
A Large Dataset to Train Convolutional Networks for Disparity, Optical Flow, and Scene Flow Estimation,
CVPR16(4040-4048)
IEEE DOI
Dataset, Optical Flow.
Baker, S.[Simon], Scharstein, D.[Daniel], Lewis, J.P., Roth, S.[Stefan], Black, M.J.[Michael J.], Szeliski, R.[Richard],
A Database and Evaluation Methodology for Optical Flow,
IJCV(92), No. 1, March 2011, pp. 1-31.
Springer DOI
Earlier: A1, A4, A2, A5, A3, A6: ICCV07(1-8).
IEEE DOI
Dataset, Optical Flow.
WWW Link.
Nascimento, S.M.C., Ferreira, F., and Foster, D.H.,
Statistics of spatial cone-excitation ratios in natural scenes,
JOSA-A(19), No. 8, August 2002, pp. 1484-1490.
PDF File. Dataset, Hyperspectral.
HTML Version.
Foster, D.H., Nascimento, S.M.C., Amano, K.,
Information limits on neural identification of coloured surfaces in natural scenes,
Visual Neuroscience(21), 2004, pp. 331-336.
PDF File. Dataset, Hyperspectral.
HTML Version.
Wang, X.H.[Xiao-Han], Eliott, F.M.[Fernanda M.], Ainooson, J.[James], Palmer, J.H.[Joshua H.], Kunda, M.[Maithilee],
An Object is Worth Six Thousand Pictures: The Egocentric, Manual, Multi-image (EMMI) Dataset,
Egocentric17(2364-2372)
IEEE DOI
Dataset, Learning. Egocentric, Manual, Multi-Image (EMMI) Dataset. Automobiles, Cameras, Manuals, Object recognition, Toy manufacturing industry, Training, Visualization
Agarwal, S.[Shivani], Awan, A.[Aatif], and Roth, D.[Dan],
Learning to Detect Objects in Images via a Sparse, Part-Based Representation,
PAMI(26), No. 11, November 2004, pp. 1475-1490.
IEEE Abstract. Or:
PDF File.
WWW Link.
Dataset, Vehicles. Detecting specific object classes (e.g. cars).
Borji, A.[Ali], Izadi, S.[Saeed], Itti, L.[Laurent],
iLab-20M: A Large-Scale Controlled Object Dataset to Investigate Deep Learning,
CVPR16(2221-2230)
IEEE DOI
Dataset, Learning.
300 Videos in the Wild,
2015 Dataset, Faces.
WWW Link. Used for the ICCV 2015 workshop challenge.
WIDER Attribute dataset,
2016.
WWW Link. Dataset, Faces. See also Human Attribute Recognition by Deep Hierarchical Contexts.
Description of the Collection of Facial Images,
2007 Dataset, Faces.
HTML Version. Essex collection of faces. 395 people, 20 images each.
Annotated Facial Dataset,
2007 Dataset, Faces.
WWW Link.
The CMU Multi-PIE Face Database,
2010 Dataset, Faces.
WWW Link. It contains 337 subjects, captured under 15 view points and 19 illumination conditions in four recording sessions for a total of more than 750,000 images.
FaceScrub Annotated Face Dataset,
2014 Dataset, Faces.
HTML Version. 100,000 images of 530 people. Acquired from internet search with rejection of pictures that do not match. See also data-driven approach to cleaning large face datasets, A.
GVVPerfcapEva Repository of Evaluation Data Sets,
2015 Dataset, Faces. Dataset, Human Motion. Dataset, Hand Tracking.
WWW Link. A set of dataset including:
GVVPerfCapEva: IDT - Full body skeletal motion capture results from from body-worn inertial sensor data and depth camera recordings GVVPerfCapEva: Dexter 1: Evaluation data set for 3D hand tracking with depth and multi-view video data GVVPerfCapEva: PDT 2013: Body shape estimation and real-time motion capture with a depth camera GVVPerfcapEva: BinoCap - Dense 3D full-body performance capture with handheld stereo cameras (single + multiple person(s)) GVVPerfcapEva: MonFacecCap - Monocular dense face performance capture GVVPerfCapEva: MVIC - markerless multi-view performance capture of multiple interacting characters GVVPerfCapEva: HKIC: Performance capture of interacting characters with handheld Kinects
MPII Human Shape,
2015 Dataset, Human Pose.
WWW Link. Expressive 3D human body shape models and tools for human shape space building.
UB KinFace Database,
2011 Dataset, Faces.
HTML Version.
Yale Face Database,
Online2006. First is 165 images.
HTML Version. And 5760 single light source images of 10 subjects each seen under 576 viewing conditions
HTML Version. Dataset, Faces.
The University of Oulu Physics-Based Face Database,
2000. 125 different faces each in 16 different camera calibration and illumination conditions.
WWW Link. Dataset, Faces.
The University of Oulu Face Video Database,
2002.
WWW Link. Dataset, Faces.
The CAS-PEAL Large-Scale Chinese Face Database and Baseline Evaluations,
2004. 9,594 images of 1040 individuals (595 males and 445 females) with varying Pose, Expression, Accessory, and Lighting
HTML Version. Dataset, Faces.
MIT Face Recognition Database,
Online2000 Fi Dataset, Faces.
HTML Version.
HTML Version. First one is small (19X19) images. Second one has training and test data.
The UMIST Face Database,
1998. Face Recognition.
HTML Version. Dataset, Faces.
NIST Mugshot Identification Database,
2002.
HTML Version. Dataset, Faces.
IARPA Janus Benchmark A (IJB-A) dataset,
2017.
WWW Link. Dataset, Faces.
The ORL Database of Faces,
1992-1994. More recently called the AT&T database.
HTML Version. Dataset, Faces.
PubFig: Public Figures Face Database,
2015 Dataset, Faces.
WWW Link. 58,797 images of 200 people collected from the internet. Refer to: See also Attribute and simile classifiers for face verification.
Peer, P.[Peter],
CVL Face Database,
Online1999. Dataset, Faces.
HTML Version. 114 people, 7 images each.
POSTECH Face Database,
2001 Dataset, Faces. Dataset, Expressions. Dataset, Gesture.
HTML Version. A variety of datasets for face recognition, expression recognition, gesture recognition, and video surveillance. See also POSTECH face database (PF07) and performance evaluation, The.
Face Recognition Vendor Test 2006,
Online2006.
WWW Link. Dataset, Faces.
WWW Link. Results in February 2007.
FacePix Database,
Online2009.
WWW Link. Dataset, Faces. 181 poses 1 degree apart plus lighting (direction) changes. See also Arizona State University.
Jain, V.[Vidit], Learned-Miller, E.G.[Erick G.],
FDDB: Face Detection Data Set and Benchmark,
UMass2010, Technical Report 2010-009.
WWW Link. Dataset, Faces. annotations for 5171 faces in a set of 2845 images. Subset of See also Labeled faces in the wild: A database for studying face recognition in unconstrained environments.
Huang, G.B., Ramesh, M., Berg, T.L., Learned-Miller, E.G.,
Labeled faces in the wild: A database for studying face recognition in unconstrained environments,
UMass2007, Technical Report 07-49. annotated faces captured from news articles on the web. Dataset, Faces.
WWW Link. Detected using: See also Robust Real-Time Face Detection.
Phillips, P.J., Moon, H.J., Rizvi, S.A., Rauss, P.J.,
The FERET Evaluation Methodology for Face-Recognition Algorithms,
PAMI(22), No. 10, October 2000, pp. 1090-1104.
IEEE DOI Evaluation, Faces. Dataset, Faces.
Earlier: A1, A2, A4, A3: CVPR97(137-143).
IEEE DOI
PDF File.
Evaluation; data.
Phillips, P.J.[P. Jonathon], Wechsler, H.[Harry], Huang, J.[Jeffery], Rauss, P.J.[Patrick J.],
The FERET Database and Evaluation Procedure for Face-Recognition Algorithms,
IVC(16), No. 5, April 27 1998, pp. 295-306.
Elsevier DOI
Evaluation, Faces. Dataset, Faces.
The FERET Database,
NIST1993.
WWW Link. Dataset, Faces. Old version. For Color -- See also Color FERET Database, The. See also National Institute of Standards and Technology (NIST) Intelligent Systems Division.
The Color FERET Database,
NISTJanuary 2008.
WWW Link. Dataset, Faces.
Wong, Y.W.[Yee Wan], Ch'ng, S.I.[Sue Inn], Seng, K.P.[Kah Phooi], Ang, L.M.[Li-Minn], Chin, S.W.[Siew Wen], Chew, W.J.[Wei Jen], Lim, K.H.[King Hann],
A new multi-purpose audio-visual UNMC-VIER database with multiple variabilities,
PRL(32), No. 13, 1 October 2011, pp. 1503-1510.
Elsevier DOI
Dataset, Faces. Audio-visual database; Face recognition; Speech recognition; Visual variation
Mavadati, S.M.[S. Mohammad], Mahoor, M.H.[Mohammad H.], Bartlett, K.[Kevin], Trinh, P.[Philip], Cohn, J.F.[Jeffrey F.],
DISFA: A Spontaneous Facial Action Intensity Database,
AffCom(4), No. 2, 2013, pp. 151-160.
IEEE DOI
Dataset, Facial Action. Databases
Zhang, X.[Xing], Yin, L.J.[Li-Jun], Cohn, J.F.[Jeffrey F.], Canavan, S.[Shaun], Reale, M.[Michael], Horowitz, A.[Andy], Liu, P.[Peng], Girard, J.M.[Jeffrey M.],
BP4D-Spontaneous: a high-resolution spontaneous 3D dynamic facial expression database,
IVC(32), No. 10, 2014, pp. 692-706.
Elsevier DOI
Earlier: A1, A2, A3, A4, A5, A6, A7, Only:
A high-resolution spontaneous 3D dynamic facial expression database,
FG13(1-6)
IEEE DOI
Dataset, Facial Expressions. emotion recognition 3D facial expression
Yin, L.J.[Li-Jun], Chen, X.C.[Xiao-Chen], Sun, Y.[Yi], Worm, T.[Tony], Reale, M.[Michael],
A high-resolution 3D dynamic facial expression database,
FG08(1-6).
IEEE DOI
Dataset, Facial Expressions.
Cao, J., Li, Y., Zhang, Z.,
Celeb-500K: A Large Training Dataset for Face Recognition,
ICIP18(2406-2410)
IEEE DOI
Dataset, Face Recognition. Training, Face, Face recognition, Measurement, Learning systems, Performance gain, Face detection, face recognition, face dataset, convolutional neural networks
Whitelam, C., Taborsky, E., Blanton, A., Maze, B., Adams, J., Miller, T., Kalka, N., Jain, A.K., Duncan, J.A., Allen, K., Cheney, J., Grother, P.,
IARPA Janus Benchmark-B Face Dataset,
Biometrics17(592-600)
IEEE DOI
Dataset, Faces. Benchmark testing, Face, Face detection, Face recognition, Media, Protocols, Videos See also IARPA Janus Benchmark A (IJB-A) dataset.
Kemelmacher-Shlizerman, I., Seitz, S.M., Miller, D., Brossard, E.,
The MegaFace Benchmark: 1 Million Faces for Recognition at Scale,
CVPR16(4873-4882)
IEEE DOI
Dataset, Face Recognition.
Guo, Y.D.[Yan-Dong], Zhang, L.[Lei], Hu, Y.X.[Yu-Xiao], He, X.D.[Xiao-Dong], Gao, J.F.[Jian-Feng],
MS-Celeb-1M: A Dataset and Benchmark for Large-Scale Face Recognition,
ECCV16(III: 87-102).
Springer DOI
Dataset, Face Recognition.
WWW Link.
Klare, B.F.[Brendan F.], Klein, B.[Ben], Taborsky, E.[Emma], Blanton, A.[Austin], Cheney, J.[Jordan], Allen, K.[Kristen], Grother, P.[Patrick], Mah, A.[Alan], Burge, M.[Mark], Jain, A.K.[Anil K.],
Pushing the frontiers of unconstrained face detection and recognition: IARPA Janus Benchmark A,
CVPR15(1931-1939)
IEEE DOI
Dataset, Face Recognition.
McDuff, D.J.[Daniel J.], el Kaliouby, R.[Rana], Senechal, T.[Thibaud], Amr, M.[May], Cohn, J.F.[Jeffrey F.], Picard, R.W.[Rosalind W.],
Affectiva-MIT Facial Expression Dataset (AM-FED): Naturalistic and Spontaneous Facial Expressions Collected 'In-the-Wild',
AMFG13(881-888)
IEEE DOI
Dataset, Facial Expressions. Facial expressions;computer vision;dataset
Toderici, G.[George], Evangelopoulos, G.[Georgios], Fang, T.H.[Tian-Hong], Theoharis, T.[Theoharis], Kakadiaris, I.A.[Ioannis A.],
UHDB11 Database for 3D-2D Face Recognition,
PSIVT13(73-86).
Springer DOI
Dataset, Faces.
Colombo, A.[Alessandro], Cusano, C.[Claudio], Schettini, R.[Raimondo],
UMB-DB: A database of partially occluded 3D faces,
BenchFace11(2113-2119).
IEEE DOI
Dataset, Faces.
Somanath, G.[Gowri], Rohith, M.V., Kambhamettu, C.[Chandra],
VADANA: A dense dataset for facial image analysis,
BenchFace11(2175-2182).
IEEE DOI
Dataset, Faces.
Özcan, M.[Mert], Jie, L.[Luo], Ferrari, V.[Vittorio], Caputo, B.[Barbara],
A Large-Scale Database of Images and Captions for Automatic Face Naming,
BMVC11(xx-yy).
HTML Version.
Dataset, Faces.
Gupta, S.[Shalini], Castleman, K.R.[Kenneth R.], Markey, M.K.[Mia K.], Bovik, A.C.[Alan C.],
Texas 3D Face Recognition Database,
Southwest10(97-100).
IEEE DOI
Dataset, Faces.
Bastanfard, A.[Azam], Nik, M.A.[Melika Abbasian], Dehshibi, M.M.[Mohammad Mahdi],
Iranian Face Database with age, pose and expression,
ICMV07(50-55).
IEEE DOI
Dataset, Faces.
Denes, L.J., Metes, P., Liu, Y.,
Hyperspectral Face Database,
CMU-RI-TR-02-25, October, 2002.
WWW Link.
Dataset, Faces.
Face Recogniton Home Page,
Online2006.
WWW Link. Code, Face Recognition. Dataset, Faces. Listing of research groups, databases, and vendors.
Face Detection Home Page,
Online2007.
WWW Link. Code, Face Detection. Dataset, Faces. Listing of research groups, databases, and vendors.
BioID Face Database,
2006. Dataset, Faces.
WWW Link. See also HumanScan, BioID.
Mian, A.S.[Ajmal S.], Bennamoun, M.[Mohammed], Owens, R.A.[Robyn A.],
Three-Dimensional Model-Based Object Recognition and Segmentation in Cluttered Scenes,
PAMI(28), No. 10, October 2006, pp. 1584-1601.
IEEE DOI
Dataset, 3-D Data.
HTML Version. And
HTML Version.
Earlier:
3D Recognition and Segmentation of Objects in Cluttered Scenes,
WACV05(I: 8-13).
IEEE DOI
And:
Region-based Matching for Robust 3D Face Recognition,
BMVC05(xx-yy).
HTML Version.
And:
Matching Tensors for Pose Invariant Automatic 3D Face Recognition,
SafeSecur05(III: 120-120).
IEEE DOI
Earlier:
Performance analysis of an improved tensor based correspondence algorithm for automatic 3d modeling,
ICIP04(III: 1951-1954).
IEEE DOI
And:
Matching Tensors for Automatic Correspondence and Registration,
ECCV04(Vol II: 495-505).
Springer DOI
Model range data with tensors. Match stored tensor representations.
Min, R.[Rui], Kose, N., Dugelay, J.L.,
KinectFaceDB: A Kinect Database for Face Recognition,
SMCS(44), No. 11, November 2014, pp. 1534-1548.
IEEE DOI
Dataset, Faces, 3-D. face recognition
Equinox: Human Identification at a Distance,
HID. 2006. IR images available. Face Recognition.
HTML Version. Dataset, Faces. See also Equinox Corporation.
Moschoglou, S., Papaioannou, A., Sagonas, C., Deng, J.K.[Jian-Kang], Kotsia, I., Zafeiriou, S.P.[Stefanos P.],
AgeDB: The First Manually Collected, In-the-Wild Age Database,
FaceWild17(1997-2005)
IEEE DOI
Dataset, Face Age. Computer vision, Databases, Estimation, Face, Face recognition, Machine learning, Protocols
Jalal, A.[Ahsan], Tariq, U.[Usman],
The LFW-Gender Dataset,
CV4AC16(III: 531-540).
Springer DOI
Dataset, Gender.
Dago-Casas, P.[Pablo], Gonzalez-Jimenez, D.[Daniel], Yu, L.L.[Long Long], Alba-Castro, J.L.[Jose Luis],
Single- and cross- database benchmarks for gender classification under unconstrained settings,
BenchFace11(2152-2159).
IEEE DOI
Dataset, Faces.
Yang, S.[Shuo], Luo, P.[Ping], Loy, C.C.[Chen Change], Tang, X.[Xiaoou],
Faceness-Net: Face Detection through Deep Facial Part Responses,
PAMI(40), No. 8, August 2018, pp. 1845-1859.
IEEE DOI
Detectors, Face, Face detection, Mouth, Neural networks, Proposals, Training, Face detection, convolutional neural network, deep learning
Earlier:
WIDER FACE: A Face Detection Benchmark,
CVPR16(5525-5533)
IEEE DOI
Dataset, Face Detection.
Earlier:
From Facial Parts Responses to Face Detection: A Deep Learning Approach,
ICCV15(3676-3684)
IEEE DOI
Detectors; Face; Face detection; Hair; Mouth; Nose; Proposals
Kostinger, M.[Martin], Wohlhart, P.[Paul], Roth, P.M.[Peter M.], Bischof, H.[Horst],
Annotated Facial Landmarks in the Wild: A large-scale, real-world database for facial landmark localization,
BenchFace11(2144-2151).
IEEE DOI
Dataset, Faces, Features.
Schneiderman, H.[Henry], Kanade, T.[Takeo],
A Statistical Method for 3D Object Detection Applied to Faces and Cars,
CVPR00(I: 746-751).
IEEE DOI
And:
A Histogram-based Method for Detection of Faces and Cars,
ICIP00(Vol III: 504-507).
IEEE DOI
And:
Frontal Face Images,
WWW Link. Dataset, Faces. Combined CMU MIT face dataset.
CMU Profile Face Images,
2000.
HTML Version. Dataset, Faces.
Frejlichowski, D.[Dariusz], Tyszkiewicz, N.[Natalia],
The West Pomeranian University of Technology Ear Database: A Tool for Testing Biometric Algorithms,
ICIAR10(II: 227-234).
Springer DOI
Dataset, Biometrics.
O'Toole, A.J.[Alice J.], Harms, J.[Joshua], Snow, S.L.[Sarah L.], Hurst, D.R.[Dawn R.], Pappas, M.R.[Matthew R.], Ayyad, J.H.[Janet H.], Abdi, H.[Herve],
A Video Database of Moving Faces and People,
PAMI(27), No. 5, May 2005, pp. 812-816.
IEEE Abstract.
Dataset, Faces. Face database.
Gu, Q., Wang, G., Chiu, M.T., Tai, Y., Tang, C.,
LADN: Local Adversarial Disentangling Network for Facial Makeup and De-Makeup,
ICCV19(10480-10489)
IEEE DOI
Dataset, Faces.
WWW Link. face recognition, feature extraction, LADN, local adversarial disentangling network, facial makeup, Mouth
Li, S.Z.[Stan Z.], Yi, D.[Dong], Lei, Z.[Zhen], Liao, S.C.[Sheng-Cai],
The CASIA NIR-VIS 2.0 Face Database,
PBVS13(348-353)
IEEE DOI
Dataset, Face Recognition. IR dataset.
Dynamic 2D/3D Speaking Face Dataset with Synchronized Audio,
2019.
HTML Version. Dataset, Lip Reading. Refer to: See also 3D Visual passcode: Speech-driven 3D facial dynamics for behaviometrics.
Language Independent Lip Reading,
2007.
HTML Version. Dataset, Lip Reading.
OuluVS database,
2009.
WWW Link. Dataset, Lip Reading.
Berga, D., Vidal, X.R.F., Otazu, X., Pardo, X.M.,
SID4VAM: A Benchmark Dataset With Synthetic Images for Visual Attention Modeling,
ICCV19(8788-8797)
IEEE DOI
Dataset, Gaze Tracking. gaze tracking, learning (artificial intelligence), neural nets, SID4VAM, visual attention modeling, saliency metrics, Benchmark testing
He, Q.H.[Qiu-Hai], Hong, X.P.[Xiao-Peng], Chai, X.J.[Xiu-Juan], Holappa, J.[Jukka], Zhao, G.Y.[Guo-Ying], Chen, X.L.[Xi-Lin], Pietikäinen, M.[Matti],
OMEG: Oulu Multi-Pose Eye Gaze Dataset,
SCIA15(418-427).
Springer DOI
Dataset, Gaze.
Hadizadeh, H., Enriquez, M.J., Bajic, I.V.,
Eye-Tracking Database for a Set of Standard Video Sequences,
IP(21), No. 2, February 2012, pp. 898-903.
IEEE DOI
Dataset, Eye Tracking.
Fox, N.A.[Niall A.], O'Mullane, B.A.[Brian A.], Reilly, R.B.[Richard B.],
VALID: A New Practical Audio-Visual Database, and Comparative Results,
AVBPA05(777).
Springer DOI
WWW Link.
Dataset, Faces.
Sharma, P.[Prag], Reilly, R.B.[Richard B.],
The UCD Colour Face Image Database for Face Detection,
Online1998.
WWW Link. Dataset, Faces.
Mollahosseini, A., Hasani, B., Mahoor, M.H.,
AffectNet: A Database for Facial Expression, Valence, and Arousal Computing in the Wild,
AffCom(10), No. 1, January 2019, pp. 18-31.
IEEE DOI
Dataset, Facial Expressions. Databases, Computational modeling, Face, Face recognition, Affective computing, Magnetic heads, arousal
CMU Facial Expression Database,
1999 Dataset, Faces. Dataset, Facial Expression.
HTML Version. Includes annotation.
Matuszewski, B.J.[Bogdan J.], Quan, W.[Wei], Shark, L.K.[Lik-Kwan],
High-resolution comprehensive 3-D dynamic database for facial articulation analysis,
BenchFace11(2128-2135).
IEEE DOI
Dataset, Facial Expressions.
Lucey, P.[Patrick], Cohn, J.F.[Jeffrey F.], Prkachin, K.M.[Kenneth M.], Solomon, P.E.[Patricia E.], Matthews, I.[Iain],
Painful data: The UNBC-McMaster shoulder pain expression archive database,
FG11(57-64).
IEEE DOI
Dataset, Facial Expression.
Children Spontaneous Facial Expression Video Database (LIRIS-CSE),
2019. Dataset, Facial Expressions.
WWW Link. spontaneous / natural facial expressions of 12 children in diverse settings with variable recording scenarios showing six universal or prototypic emotional expressions (happiness, sadness, anger, surprise, disgust and fear). See also novel database of children's spontaneous facial expressions (LIRIS-CSE), A.
McDuff, D.J.[Daniel J.], Amr, M., el Kaliouby, R.[Rana],
AM-FED+: An Extended Dataset of Naturalistic Facial Expressions Collected in Everyday Settings,
AffCom(10), No. 1, January 2019, pp. 7-17.
IEEE DOI
Dataset, Facial Expressions. Videos, Encoding, Face recognition, Training, Lighting, Task analysis, Databases, Facial expressions, facial action coding system, corpora
Yan, W.J.[Wen-Jing], Wu, Q.[Qi], Liu, Y.J.[Yong-Jin], Wang, S.J.[Su-Jing], Fu, X.L.[Xiao-Lan],
CASME database: A dataset of spontaneous micro-expressions collected from neutralized faces,
FG13(1-7)
IEEE DOI
Dataset, Facial Expressions. computer vision
Petridis, S.[Stavros], Martinez, B.[Brais], Pantic, M.[Maja],
The MAHNOB Laughter database,
IVC(31), No. 2, February 2013, pp. 186-202.
Elsevier DOI
Dataset, Laughter. Laughter; Audiovisual; Thermal; Database; Audiovisual automatic laughter-speech discrimination
Abadi, M.K., Subramanian, R., Kia, S.M., Avesani, P., Patras, I., Sebe, N.,
DECAF: MEG-Based Multimodal Database for Decoding Affective Physiological Responses,
AffCom(6), No. 3, July 2015, pp. 209-222.
IEEE DOI
Dataset, Affective Responses. Databases
Provost, E.M., Shangguan, Y., Busso, C.,
UMEME: University of Michigan Emotional McGurk Effect Data Set,
AffCom(6), No. 4, October 2015, pp. 395-409.
IEEE DOI
Dataset, Emotion Recognition. Emotion recognition
Yan, J.J.[Jing-Jie], Wang, B.[Bei], Liang, R.[Ruiyu],
A Novel Bimodal Emotion Database from Physiological Signals and Facial Expression,
IEICE(E101-D), No. 7, July 2018, pp. 1976-1979.
WWW Link.
Dataset, Emotions.
Lee, J.[Jiyoung], Kim, S.R.[Seung-Ryong], Kim, S.[Sunok], Park, J.[Jungin], Sohn, K.[Kwanghoon],
Context-Aware Emotion Recognition Networks,
ICCV19(10142-10151)
IEEE DOI
Dataset, Emotion Recognition.
WWW Link. emotion recognition, face recognition, feature extraction, image fusion, neural nets, visual scene, boosting manner, Adaptive systems
Nguyen, H.[Hung], Kotani, K.[Kazunori], Chen, F.[Fan], Le, B.[Bac],
A Thermal Facial Emotion Database and Its Analysis,
PSIVT13(397-408).
Springer DOI
Dataset, Facial Expression.
Lyons, M.J., Akamatsu, S., Kamachi, M., Gyoba, J.,
Coding Facial Expressions with Gabor Wavelets,
AFGR98(200-205).
IEEE DOI Dataset, Facial Expressions.
HTML Version. 213 images of 7 facial expressions, 10 Japanese female subjects.
Oulu-CASIA NIR&VIS facial expression database,
2008.
WWW Link. Dataset, Facial Expressions. 6 typical expressions from 80 subjects.
BU-3DFE (Binghamton University 3D Facial Expression) Database,
Dataset, Facial Expressions.
HTML Version.
The AR Face Database,
1998.
HTML Version. Or:
HTML Version. Dataset, Faces.
Sim, T.[Terence], Baker, S., Bsat, M.,
The CMU Pose, Illumination, and Expression Database,
PAMI(25), No. 12, December 2003, pp. 1615-1618.
IEEE Abstract.
Dataset, Faces.
Earlier:
The CMU Pose, Illumination, and Expression (PIE) Database of Human Faces,
AFGR02(46-51).
IEEE DOI
HTML Version.
And: CMU-RI-TR-01-02, January, 2001.
HTML Version.
PDF File.
PS File.
HTML Version.
Gross, R.[Ralph], Matthews, I.[Iain], Cohn, J.F.[Jeffrey F.], Kanade, T.[Takeo], Baker, S.[Simon],
Multi-PIE,
IVC(28), No. 5, May 2010, pp. 807-813.
Elsevier DOI
Dataset, Faces.
Earlier: FG08(1-8).
IEEE DOI
Face database; Face recognition across pose; Face recognition across illumination; Face recognition across expression See also CMU Pose, Illumination, and Expression Database, The.
Kanade, T.[Takeo], Cohn, J.F.[Jeffrey F.], Tian, Y.L.[Ying-Li],
Comprehensive Database for Facial Expression Analysis,
AFGR00(46-53).
IEEE DOI
Dataset, Faces. Dataset, Expressions.
Wang, S., Liu, Z., Lv, S., Lv, Y., Wu, G., Peng, P., Chen, F., Wang, X.,
A Natural Visible and Infrared Facial Expression Database for Expression Recognition and Emotion Inference,
MultMed(12), No. 7, 2010, pp. 682-691.
IEEE DOI
Dataset, Facial Expressions.
Matuszewski, B.J.[Bogdan J.], Quan, W.[Wei], Shark, L.K.[Lik-Kwan], McLoughlin, A.S.[Alison S.], Lightbody, C.E.[Catherine E.], Emsley, H.C.A.[Hedley C.A.], Watkins, C.L.[Caroline L.],
Hi4D-ADSIP 3-D dynamic facial articulation database,
IVC(30), No. 10, October 2012, pp. 713-727.
Elsevier DOI
Dataset, Facial Expressions. Facial articulation database; Expression recognition; Facial; Dysfunctions; Facial expression validation
Wang, S.F.[Shang-Fei], Liu, Z.L.[Zhi-Lei], Wang, Z.Y.[Zhao-Yu], Wu, G.B.[Guo-Bing], Shen, P.J.[Pei-Jia], He, S.[Shan], Wang, X.[Xufa],
Analyses of a Multimodal Spontaneous Facial Expression Database,
AffCom(4), No. 1, January 2013, pp. 34-46.
IEEE DOI
Dataset, Expression Recognition.
Baveye, Y., Dellandrea, E., Chamaret, C., Chen, L.M.[Li-Ming],
LIRIS-ACCEDE: A Video Database for Affective Content Analysis,
AffCom(6), No. 1, January 2015, pp. 43-55.
IEEE DOI
Dataset, Affective. copyright
Zhang, Z., Girard, J.M., Wu, Y., Zhang, X., Liu, P., Ciftci, U., Canavan, S., Reale, M., Horowitz, A., Yang, H., Cohn, J.F., Ji, Q., Yin, L.,
Multimodal Spontaneous Emotion Corpus for Human Behavior Analysis,
CVPR16(3438-3446)
IEEE DOI
Dataset, Emotion.
Aubrey, A.J.[Andrew J.], Marshall, D.[David], Rosin, P.L.[Paul L.], Vendeventer, J.[Jason], Cunningham, D.W.[Douglas W.], Wallraven, C.[Christian],
Cardiff Conversation Database (CCDb): A Database of Natural Dyadic Conversations,
LV13(277-282)
IEEE DOI
Dataset, Facial Expressions. Conversations; Database; Facial Expressions
Lucey, P.[Patrick], Cohn, J.F.[Jeffrey F.], Kanade, T.[Takeo], Saragih, J.M.[Jason M.], Ambadar, Z.[Zara], Matthews, I.[Iain],
The Extended Cohn-Kanade Dataset (CK+): A complete dataset for action unit and emotion-specified expression,
CVPR4HB10(94-101).
IEEE DOI
Dataset, Facial Expressions.
Sapinski, T.[Tomasz], Kaminska, D.[Dorota], Pelikant, A.[Adam], Ozcinar, C.[Cagri], Avots, E.[Egils], Anbarjafari, G.[Gholamreza],
Multimodal Database of Emotional Speech, Video and Gestures,
MIPPSNA18(153-163).
Springer DOI
Dataset, Emotions.
Sneddon, I., McRorie, M., McKeown, G., Hanratty, J.,
The Belfast Induced Natural Emotion Database,
AffCom(3), No. 1, 2012, pp. 32-41.
IEEE DOI
Dataset, Emotions.
Wei, H.[Haolin], Monaghan, D.S.[David S.], O'Connor, N.E.[Noel E.], Scanlon, P.[Patricia],
A New Multi-modal Dataset for Human Affect Analysis,
HBU14(42-51).
Springer DOI
Dataset, Human Affect.
Verma, M., Kumawat, S., Nakashima, Y., Raman, S.,
Yoga-82: A New Dataset for Fine-grained Classification of Human Poses,
VUHCS20(4472-4479)
IEEE DOI
Dataset, Homan Pose. Legged locomotion, Wheels, Pose estimation, Computer vision, Visualization, Skeleton, Image resolution
Bourdev, L.[Lubomir], and Malik, J.[Jitendra],
H3D Dataset,
2009. Dataset, Humans.
WWW Link. Annotated human images.
van der Aa, N.P., Luo, X., Giezeman, G.J., Tan, R.T., Veltkamp, R.C.,
UMPM benchmark: A multi-person dataset with synchronized video and motion capture data for evaluation of articulated human motion and interaction,
HICV11(1264-1269).
IEEE DOI
Dataset, Human Pose.
HandNet Hand Images,
2015 Dataset, Gestures.
WWW Link.
More than 214971 images of 10 different particpants' hands captured by a RealSense RGBD sensor performing random articulations. Annotations include: per pixel classes, 6D fingertip pose, heatmap. Recorded at GIP Lab, Technion.
Fanelli, G., Gall, J., Romsdorfer, H., Weise, T., Van Gool, L.J.,
A 3-D Audio-Visual Corpus of Affective Communication,
MultMed(12), No. 6, 2010, pp. 591-598.
IEEE DOI
Dataset, Gestures.
Molina, J.[Javier], Pajuelo, J.A.[José A.], Escudero-Viñolo, M.[Marcos], Bescós, J.[Jesús], Martínez, J.M.[José M.],
A natural and synthetic corpus for benchmarking of hand gesture recognition systems,
MVA(25), No. 4, May 2014, pp. 943-954.
Springer DOI
Dataset, Hand Gestures.
Guyon, I.[Isabelle], Athitsos, V.[Vassilis], Jangyodsuk, P.[Pat], Escalante, H.J.[Hugo Jair],
The ChaLearn gesture dataset (CGD 2011),
MVA(25), No. 8, November 2014, pp. 1929-1951.
Springer DOI
Dataset, Gesture.
Materzynska, J., Berger, G., Bax, I., Memisevic, R.,
The Jester Dataset: A Large-Scale Video Dataset of Human Gestures,
Hands19(2874-2882)
IEEE DOI
Dataset, Gestures. convolutional neural nets, gesture recognition, human computer interaction, video signal processing, deep learning
Myanganbayar, B.[Battushig], Mata, C.[Cristina], Dekel, G.[Gil], Katz, B.[Boris], Ben-Yosef, G.[Guy], Barbu, A.[Andrei],
Partially Occluded Hands: A Challenging New Dataset for Single-Image Hand Pose Estimation,
ACCV18(V:85-98).
Springer DOI
Dataset, Hand Pose.
WWW Link.
Bloom, V.[Victoria], Argyriou, V.[Vasileios], Makris, D.[Dimitrios],
Linear latent low dimensional space for online early action recognition and prediction,
PR(72), No. 1, 2017, pp. 532-547.
Elsevier DOI
Earlier: A1, A3, A2:
G3D: A gaming action dataset and real time action recognition evaluation framework,
CVCG12(7-12).
IEEE DOI
Dataset, Gesture Recognition. Action, recognition
Buehler, P.[Patrick], Everingham, M.R.[Mark R.], Huttenlocher, D.P.[Daniel P.], Zisserman, A.[Andrew],
Upper Body Detection and Tracking in Extended Signing Sequences,
IJCV(95), No. 2, November 2011, pp. 180-197.
WWW Link.
Earlier:
Long Term Arm and Hand Tracking for Continuous Sign Language TV Broadcasts,
BMVC08(xx-yy).
PDF File.
PDF File. Data available. Dataset, Sign Language.
HTML Version.
The BANCA Database,
2007.
WWW Link. Dataset, Biometrics.
Soft-Biometric in Surveillance (SoBiS) Dataset,
2017
WWW Link. Dataset, Biometrics. Recorded at Fraunhofer IOSB.
Ortega-Garcia, J., Fierrez-Aguilar, J., Simon, D., Gonzalez, J., Faundez-Zanuy, M., Espinosa, V., Satue, A., Hernaez, I., Igarza, J.J., Vivaracho, C., Escudero, D., Moro, Q.I.,
MCYT baseline corpus: a bimodal biometric database,
VISP(150), No. 6, December 2003, pp. 395-401.
IEEE Abstract.
Dataset, Biometrics.
Fierrez-Aguilar, J.[Julian], Ortega-Garcia, J.[Javier], Toledano, D.T.[Doroteo Torre], Gonzalez-Rodriguez, J.[Joaquin],
Biosec baseline corpus: A multimodal biometric database,
PR(40), No. 4, April 2007, pp. 1389-1392.
Elsevier DOI
Dataset, Biometrics. Multimodal; Biometrics; Authentication; Verification; Database; Performance; Fingerprint; Iris; Face; Voice
Ortega-Garcia, J.[Javier], Fierrez, J.[Julian], Alonso-Fernandez, F.[Fernando], Galbally, J.[Javier], Freire, M.R.[Manuel R.], Gonzalez-Rodriguez, J.[Joaquin], Garcia-Mateo, C.[Carmen], Alba-Castro, J.L.[Jose-Luis], Gonzalez-Agulla, E.[Elisardo], Otero-Muras, E.[Enrique], Garcia-Salicetti, S.[Sonia], Allano, L.[Lorene], Ly-Van, B.[Bao], Dorizzi, B.[Bernadette], Kittler, J.V.[Josef V.], Bourlai, T.[Thirimachos], Poh, N.[Norman], Deravi, F.[Farzin], Ng, M.N.R.[Ming N. R.], Fairhurst, M.C.[Michael C.], Hennebert, J.[Jean], Humm, A.[Andreas], Tistarelli, M.[Massimo], Brodo, L.[Linda], Richiardi, J.[Jonas], Drygajlo, A.[Andrezj], Ganster, H.[Harald], Sukno, F.M.[Federico M.], Pavani, S.K.[Sri-Kaushik], Frangi, A.[Alejandro], Akarun, L.[Lale], Savran, A.[Arman],
The Multiscenario Multienvironment BioSecure Multimodal Database (BMDB),
PAMI(32), No. 6, June 2010, pp. 1097-1111.
IEEE DOI
Dataset, Biometrics. Withing the Europens BioSecure framework. 600 individuals. Acquired over internet, in office, and indoor/outdoor with portable hardware. Audio/Video data, signature, fingerprint.
Santos, G., Fiadeiro, P.T., Proença, H.,
BioHDD: a dataset for studying biometric identification on heavily degraded data,
IET-Bio(4), No. 1, 2015, pp. 1-9.
DOI Link
Dataset, Biometrics. biometrics (access control)
Zhang, Y.H.[Yuan-Han], Yin, Z.F.[Zhen-Fei], Li, Y.D.[Yi-Dong], Yin, G.J.[Guo-Jun], Yan, J.J.[Jun-Jie], Shao, J.[Jing], Liu, Z.[Ziwei],
Celeba-Spoof: Large-scale Face Anti-spoofing Dataset with Rich Annotations,
ECCV20(XII: 70-85).
Springer DOI
Dataset, Face Anti-Spoofing.
Oliveira, H.P.[Hélder P.], Magalhães, F.[Filipe],
Two Unconstrained Biometric Databases,
ICIAR12(II: 11-19).
Springer DOI
Dataset, Biometrics.
Zafeiriou, S.P.[Stefanos P.], Hansen, M.[Mark], Atkinson, G.A.[Gary A.], Argyriou, V.[Vasileios], Petrou, M.[Maria], Smith, M.L.[Melvyn L.], Smith, L.N.[Lyndon N.],
The Photoface database,
Biometrics11(132-139).
IEEE DOI
Dataset, Faces.
Nizami, H., Adkins-Hill, J.P., Zhang, Y.[Yong], Sullins, J.R., McCullough, C., Canavan, S., Yin, L.J.[Li-Jun],
A biometric database with rotating head videos and hand-drawn face sketches,
BTAS09(1-6).
IEEE DOI
Dataset, Biometrics.
Li, S.Z.[Stan Z.], Lei, Z.[Zhen], Ao, M.[Meng],
The HFB Face Database for Heterogeneous Face Biometrics research,
OTCBVS09(1-8).
IEEE DOI
Dataset, Faces.
Martinho-Corbishley, D., Nixon, M.S.[Mark S.], Carter, J.N.[John N.],
Soft Biometric Retrieval to Describe and Identify Surveillance Images,
ISBA16(xx-xx).
IEEE DOI Dataset, Soft Biometrics. SoBiR Dataset
WWW Link.
Messer, K., Matas, J.G., Kittler, J.V., Luettin, J., Maitre, G.,
XM2VTSDB: The Extended M2VTS Database,
AVBPA99(xx-yy).
WWW Link. Dataset, Biometrics. 4 versions of 295 subjects.
UBIRIS database,
2007, Department of Computer Science, University of Beira Interior, Portugal.
WWW Link. Dataset, Iris Images. The enhanced version is available only for the Iris Segmentation Contest. 241 subjects, 1877 images.
CASIA Iris Image Database,
2007, Chinese Academy of Sciences.
HTML Version. Dataset, Iris Images. Various versions. Version 3. 60 subjects, 2400 images.
NIST ICE Iris Image Database,
2007, NIST.
WWW Link. Dataset, Iris Images. 132 subjects, 2953 images. For an update: See also Iris Recognition Database.
Iris Recognition Database,
2007
HTML Version. Dataset, Iris Images. Derived from University of Bath See also University of of Bath. in association with Smart Sensors Ltd. See also Smart Sensors Limited. High resolution images, 20 each eye for 800 people.
Iris Recognition Database,
2009
HTML Version. Dataset, Iris Images. ND-IRIS-0405. A superset of ICE2005 and ICE2006 datasets. ( See also NIST ICE Iris Image Database. ) 64,980 iris images from 712 irises of 356 human subjects. From the Notre Dame group. See also University of Notre Dame.
UTIRIS: University of Tehran IRIS Image Repository,
Online2014
WWW Link. Dataset, Iris Images.
Visible and Infrared.
Dobeš, M.[Michal], and Machala, L.[Libor],
Iris Database,
Online2006
WWW Link. Dataset, Iris Images. The database used for: See also Human eye localization using the modified Hough transform. See also Human Eye Iris Recognition Using the Mutual Information.
Proenca, H.[Hugo], Filipe, S.[Silvio], Santos, R.[Ricardo], Oliveira, J.[Joao], Alexandre, L.A.[Luis A.],
The UBIRIS.v2: A Database of Visible Wavelength Iris Images Captured On-the-Move and At-a-Distance,
PAMI(32), No. 8, August 2010, pp. 1529-1535.
IEEE DOI
Dataset, Iris Recognition.
WWW Link. Visible wavelength, 4-8 meters distance, people moving.
Petrovska-Delacretaz, D., Lelandais, S., Colineau, J., Chen, L.M., Dorizzi, B., Ardabilian, M., Krichen, E., Mellakh, M.A., Chaari, A., Guerfi, S., d'Hose, J., Ben Amor, B.[Boulbaba],
The IV2 Multimodal Biometric Database (Including Iris, 2D, 3D, Stereoscopic, and Talking Face Data), and the IV2-2007 Evaluation Campaign,
BTAS08(1-7).
IEEE DOI
Dataset, Iris Recognition.
Maltoni, D.[Davide], Maio, D.[Dario], Jain, A.K.[Anil K.], Prabhakar, S.[Salil],
Handbook of Fingerprint Recognition,
Springer2009. ISBN: 978-1-84882-253-5 Second Edition.
WWW Link.
Earlier: Springer-VerlagNew York, 2003
WWW Link. Survey, Fingerprints. Dataset, Fingerprints. The new edition is greatly expanded. Algorithms, evaluations, sensors, standards, security. Buy this book: Handbook of Fingerprint Recognition
Maio, D., Maltoni, D.[Davide], Cappelli, R.[Raffaele], Wayman, J.L., Jain, A.K.,
FVC2000: Fingerprint Verification Competition,
PAMI(24), No. 3, March 2002, pp. 402-412.
IEEE DOI
Dataset, Fingerprints.
Earlier:
Invited Paper: FVC2000: Fingerprint Verification Competition,
ICPR00(Vol IV: No paper).
Wilson, C.L., Watson, C.I.,
NIST Special Database 4, Fingerprint Database,
NISTIRMarch 1992.
WWW Link. Dataset, Fingerprints.
Wang, Q., Li, S.Y.,
Database of human segmented images and its application in boundary detection,
IET-IPR(6), No. 3, 2012, pp. 222-229.
DOI Link
Dataset, Segmentation.
ADE20K Dataset,
2017. Dataset, Segmentation.
WWW Link. Annotated data,
LHI Segmentation Dataset,
Subset of larger dataset. Online2008
HTML Version. Dataset, Segmentation. See also Lotus Hill Institute.
The PASCAL Visual Object Classes Challenge 2012,
Online2012 Dataset, Segmentation.
WWW Link. Various PASCAL datasets for different years See also Pascal: Pattern Analysis, Statistical Modelling and Computational Learning.
COCO: Common Objects in Context,
Online Dataset, Segmentation.
WWW Link. Large-scale object detection, segmentation, and captioning dataset. Used for ECCV 2018 challange:
HTML Version.
Barnard, K.[Kobus], Fan, Q.F.[Quan-Fu], Swaminathan, R.[Ranjini], Hoogs, A.[Anthony], Collins, R.[Roderic], Rondot, P.[Pascale], Kaufhold, J.[John],
Evaluation of Localized Semantics: Data, Methodology, and Experiments,
IJCV(77), No. 1-3, May 2008, pp. 199-217.
Springer DOI
Dataset, Segmentation. Dataset with hand segmentations.
WWW Link.
Follmann, P.[Patrick], Böttger, T.[Tobias], Härtinger, P.[Philipp], König, R.[Rebecca], Ulrich, M.[Markus],
MVTec D2S: Densely Segmented Supermarket Dataset,
ECCV18(X: 581-597).
Springer DOI
Dataset, Segmentation.
Kampel, M.[Martin], Hanbury, A.[Allan], Blauensteiner, P.[Philipp], Wildenauer, H.[Horst],
Improved motion segmentation based on shadow detection,
ELCVIA(6), No. 3, December 2007, pp. 1-12.
DOI Link
Includes Test Data: Dataset, Shadow Detection.
Semantic Boundaries Dataset and Benchmark,
Online2011. Dataset, Segmentation.
HTML Version. or:
HTML Version. See also Semantic contours from inverse detectors. Related to: See also Berkeley Segmentation Dataset and Benchmark, The. See also PASCAL Visual Object Classes Challenge 2012, The.
Arbelaez, P.[Pablo], Fowlkes, C.C.[Charless C.], and Martin, D.R.[David R.],
The Berkeley Segmentation Dataset and Benchmark,
Online2007. Dataset, Segmentation. Dataset, BSDS. Code, Segmentation.
WWW Link. The updated code and data for the earlier paper. See also Database of Human Segmented Natural Images and its Application to Evaluating Segmentation Algorithms and Measuring Ecological Statistics, A.
Martin, D.R.[David R.], Fowlkes, C.C.[Charless C.], Tal, D.[Doron], Malik, J.[Jitendra],
A Database of Human Segmented Natural Images and its Application to Evaluating Segmentation Algorithms and Measuring Ecological Statistics,
ICCV01(II: 416-423).
IEEE DOI
Award, PAMI Helmholtz Prize, 2015.
And:
A Database of Human Segmented Natural Images and its Application to Evaluating Segmentation Algorithms,
PercOrg01(xx-yy). Dataset, Human Segmentation. BSDS300 DAtaset Multiple human segmentations and a segmentation consistency measure. Human-human are consistent with the measure, different images are not consistent. Promised online availability. 1000 images with hand segmentations. Multiple hand segmentations.
Anke, B.[Bellmann], Olaf, H.[Hellwich], Volker, R.[Rodehorst], Ulas, Y.[Yilmaz],
A Benchmark Dataset for Performance Evaluation of Shape-from-X Algorithms,
ISPRS08(B3b: 67 ff).
PDF File.
Dataset, Shape from X.
Aksoy, Y.[Yagiz], Kim, C.[Changil], Kellnhofer, P.[Petr], Paris, S.[Sylvain], Elgharib, M.[Mohamed], Pollefeys, M.[Marc], Matusik, W.[Wojciech],
A Dataset of Flash and Ambient Illumination Pairs from the Crowd,
ECCV18(IX: 644-660).
Springer DOI
Dataset, Illumination.
Shi, B.X.[Bo-Xin], Mo, Z.P.[Zhi-Peng], Wu, Z.[Zhe], Duan, D.L.[Ding-Long], Yeung, S.K.[Sai-Kit], Tan, P.[Ping],
A Benchmark Dataset and Evaluation for Non-Lambertian and Uncalibrated Photometric Stereo,
PAMI(41), No. 2, February 2019, pp. 271-284.
IEEE DOI
Earlier: A1, A3, A2, A4, A5, A6: CVPR16(3707-3716)
IEEE DOI
Dataset, Photometric Stereo. Lighting, Taxonomy, Benchmark testing, Shape, Brain modeling, Cameras, Heuristic algorithms, Photometric stereo, benchmark, dataset, uncalibrated
Narasimhan, S.G.[Srinivasa G.], Wang, C.[Chi], Nayar, S.K.[Shree K.],
All the Images of an Outdoor Scene,
ECCV02(III: 148 ff.).
Springer DOI
PDF File.
Dataset, Outdoor Scene. A database of the same location every hour for 5 months. Registered and calibrated.
WWW Link. for the database.
Grosse, R.[Roger], Johnson, M.K.[Micah K.], Adelson, E.H.[Edward H.], Freeman, W.T.[William T.],
Ground truth dataset and baseline evaluations for intrinsic image algorithms,
ICCV09(2335-2342).
IEEE DOI
Dataset, Shading. For shading and reflectance computations.
Scharstein, D.[Daniel], Szeliski, R.S.[Richard S.],
A Taxonomy and Evaluation of Dense Two-Frame Stereo Correspondence Algorithms,
IJCV(47), No. 1-3, April-June 2002, pp. 7-42.
DOI Link
Code, Stereo. Dataset, Stereo. The data sets and code are also available:
WWW Link. Award, PAMI Everingham, 2015.
Di Rita, M., Nascetti, A., Crespi, M.,
FOSS4G Date Assessment On the Isprs Optical Stereo Satellite Data: A Benchmark for DSM Generation,
Hannover17(635-638).
DOI Link
Dataset, Stereo. benchmark dataset with several stereo data sets from space borne stereo sensors
Scharstein, D.[Daniel], Hirschmüller, H.[Heiko], Kitajima, Y.[York], Krathwohl, G.[Greg], Nešic, N.[Nera], Wang, X.[Xi], Westling, P.[Porter],
High-Resolution Stereo Datasets with Subpixel-Accurate Ground Truth,
GCPR14(31-42).
Springer DOI
Dataset, Stereo.
Haeusler, R.[Ralf], Kondermann, D.[Daniel],
Synthesizing Real World Stereo Challenges,
GCPR13(164-173).
Springer DOI
Dataset, Stereo.
Janoch, A.[Allison], Karayev, S.[Sergey], Jia, Y.Q.[Yang-Qing], Barron, J.T.[Jonathan T.], Fritz, M.[Mario], Saenko, K.[Kate], Darrell, T.J.[Trevor J.],
A category-level 3-D object dataset: Putting the Kinect to work,
ConDepth11(1168-1174).
IEEE DOI
Dataset, Stereo. Color and depth pairs.
Browatzki, B.[Bjorn], Fischer, J.[Jan], Graf, B.[Birgit], Bulthoff, H.H.[Heinrich H.], Wallraven, C.[Christian],
Going into depth: Evaluating 2D and 3D cues for object classification on a new, large-scale object dataset,
ConDepth11(1189-1195).
IEEE DOI
Dataset, Stereo.
Haeusler, R.[Ralf], Klette, R.[Reinhard],
Analysis of KITTI Data for Stereo Analysis with Stereo Confidence Measures,
UnOptFlow12(II: 158-167).
Springer DOI
And:
Disparity Confidence Measures on Engineered and Outdoor Data,
CIARP12(624-631).
Springer DOI
Earlier:
Benchmarking Stereo Data (Not the Matching Algorithms),
DAGM10(383-392).
Springer DOI
Dataset, Stereo.
Janowski, A., Sawicki, P., Szulwic, J.,
Internet database for photogrammetric close range applications,
IEVM06(xx-yy).
PDF File.
Dataset, Photogrammetry.
CVLab dense multi-view stereo image database,
2010
HTML Version. Dataset, Stereo. Multiple views, ground level, of buildings
IS-3D: Data,
2008.
HTML Version. Dataset, Stereo. Multiple views of various structures.
Shao, S., Li, Z., Zhang, T., Peng, C., Yu, G., Zhang, X., Li, J., Sun, J.,
Objects365: A Large-Scale, High-Quality Dataset for Object Detection,
ICCV19(8429-8438)
IEEE DOI
Dataset, Object Detection. feature extraction, image annotation, image classification, image segmentation, learning (artificial intelligence), Clocks
Gauglitz, S.[Steffen], Höllerer, T.[Tobias], Turk, M.A.[Matthew A.],
Evaluation of Interest Point Detectors and Feature Descriptors for Visual Tracking,
IJCV(94), No. 3, September 2011, pp. 335-360.
WWW Link.
WWW Link.
Dataset, Tracking. Present a dataset with ground truth for evaluation. And evaluation of camera tracking.
Wang, Q.[Qi], Zhu, G.K.[Guo-Kang], Yuan, Y.[Yuan],
Multi-spectral dataset and its application in saliency detection,
CVIU(117), No. 12, 2013, pp. 1748-1754.
Elsevier DOI
Dataset, Infrared. RGB+near infrared. Multi-spectral
CUReT: Columbia-Utrecht Reflectance and Texture Database,
2006. Dataset, Texture.
WWW Link.
MIT Texture Data,
1995. Dataset, Texture.
HTML Version.
Texture Data,
2006. Dataset, Texture.
WWW Link.
Outex: New framework for empirical evaluation of texture analysis algorithms,
2006. Dataset, Texture.
WWW Link.
Texure Image Data,
2006. Dataset, Texture.
WWW Link. A variety of texture datasets. Includes Brodatz.
The KTH-TIPS and KTH-TIPS2 image databases,
2006. Dataset, Texture.
WWW Link. Textures under varying illumination, pose and scale. Extension of: See also CUReT: Columbia-Utrecht Reflectance and Texture Database.
TILDA: Textile Texture Database,
1996. Dataset, Texture.
WWW Link.
Hossain, S.[Shahera], Serikawa, S.[Seiichi],
Texture databases: A comprehensive survey,
PRL(34), No. 15, 2013, pp. 2007-2022.
Elsevier DOI
Dataset, Texture. Survey, Texture Datasets. Texture.
Lee, S.K.[Seung-Kyu], Liu, Y.X.[Yan-Xi],
PSU Near-Regular Texture Database,
OnlinePSU, 2005.
WWW Link. Dataset, Texture.
Total found: 531