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:

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.[Antonio], Oliva, A.[Aude],
Understanding and Predicting Image Memorability at a Large Scale,
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.

Lee, G.H.[Gim Hee], Achtelik, M., Fraundorfer, F., Pollefeys, M., Siegwart, R.,
A benchmarking tool for MAV visual pose estimation,
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,
Dataset, Landmarks. Landmark search aided by GPS.

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,
Springer DOI
Dataset, Navigation.

Swedish Trafic Signs,
WWW Link. Dataset, Traffic Signs.

CMU VASC Image Database,
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,
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,
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).
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],
AVA: A large-scale database for aesthetic visual analysis,
Dataset, Aesthetic Analysis.

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).
PDF File.
WWW Link.
Dataset, Objects. Real time implementation. Find generic objects.

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,
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,

And: A2, A1, A4, A3, A5:
Object retrieval with large vocabularies and fast spatial matching,
HTML Version.
Dataset, Buildings.

Large Scale Video Database,
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.

Xu, J.[Jun], Mei, T.[Tao], Yao, T.[Ting], Rui, Y.[Yong],
MSR-VTT: A Large Video Description Dataset for Bridging Video and Language,
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,
Dataset, Animations.

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,
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.

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,
HTML Version. Dataset, Flowers.
HTML Version.

Wood image database ,
WWW Link.
WWW Link. For information also see:
HTML Version. Dataset, Lumber.

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,
Dataset, Object Recognition.
Small Hand-Held Object Recognition Test (SHORT),

Mobile Visual Assistive Apps: Benchmarks of Vision Algorithm Performance,
Springer DOI
Computer vision Cameras

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,
Dataset, Remote Sensing.
WWW Link. Same scene, satellite, air, UAV, smartphone.

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,
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).
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.

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,
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,
Dataset, City Models.

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.

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 subse

Matzen, K.[Kevin], Snavely, N.[Noah],
NYC3DCars: A Dataset of 3D Vehicles in Geographic Context,
Dataset, Vehicles. 3D models; geography; object detection; structure from motion

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,
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,
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,
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,
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

CASIA Online and Offline Chinese Handwriting Databases,
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,
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,
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,
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,
IEEE Top Reference.
Dataset, Checks.

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,
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,
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,
Dataset, Handwritting, Arabic.

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,
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,
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,
Springer DOI
Dataset, Farsi Handwriting.

NIST OCR Databases,
WWW Link. Dataset, OCR. Dataset, Documents. A series of datasets for OCR and document analysis.

Sauvola, J., Kauniskangas, H.,
Media Team Document Database II,
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.
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,
Springer DOI
Dataset, Document Images.

Nagy, R.[Robert], Dicker, A.[Anders], Meyer-Wegener, K.[Klaus],
NEOCR: A Configurable Dataset for Natural Image Text Recognition,
Springer DOI
Dataset, Natural Image 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.

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.

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,
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,
Dataset, OCR.

Stria, J.[Jan], Bresler, M.[Martin], Prua, D.[Daniel], Hlavác, V.[Vaclav],
MfrDB: Database of Annotated On-Line Mathematical Formulae,
Dataset, Formula.

WWW Link. Dataset, Logos. 32 logo classes, various orientations, surface shapes, etc.

UMD Logo Database,
Univ. Maryland database of 106 corportate logos. Dataset, OCR.
HTML Version.

Rocha, A.[Anderson], Goldenstein, S.K.[Siome K.], Scheirer, W.J.[Walter J.], Boult, T.E.[Terrance E.],
The Unseen Challenge data sets,
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,
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,
Dataset, OCR. Handwritten Spanish manuscript from 1891.

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.
Empirical evaluation of graph partitioning measures for perceptual organization,
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,
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,
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.

Bellmann, A.[Anke], Hellwich, O.[Olaf], Rodehorst, V.[Volker], Yilmaz, U.[Ulas],
A Benchmarking Dataset for Performance Evaluation of Automatic Surface Reconstruction Algorithms,
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.

Earlier: CVPR09(1046-1053).
Generalize Bilateral reflection symmetry to curved glide-reflection. Leaf images. Dataset, Symmetry Images.

Alpha Matting Evaluation Website,
WWW Link. Dataset, Image Matting. See also perceptually motivated online benchmark for image matting, A.

Liu, X.W.[Xin-Wei], Pedersen, M.[Marius], Hardeberg, J.Y.[Jon Yngve],
CID:IQ: A New Image Quality Database,
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.
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.

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.

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.

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. CalTech 101 Objects Categories,
Dataset, Objects. HTML Version.
CalTech 100 Natural Scenes,
Dataset, Natural Scenes. WWW Link.
CalTech Turntable Images,
Dataset, 3D Data. WWW Link.
144 calibrated viewpoints, 3 lighting variations. CalTech Archived Images,
Dataset, Images. HTML Version.

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.

PrincetonComputer Science Department. Computer vision group. WWW Link.
Research Group, US. Human action classification. Dataset. WWW Link.

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,
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.

Accurate Object Localization with Shape Masks,
Dataset, People.
WWW Link. The dataset includes annotations. Derived from Graz dataset.
WWW Link.

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.
Dataset, Matching.
HTML Version.
Automatic robust image registration system: Initialization, estimation, and decision,

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.
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,
Dataset, Change Detection.

Goyette, N.[Nil], Jodoin, P.M.[Pierre-Marc], Porikli, F.M.[Fatih M.], Konrad, J.[Janusz], Ishwar, P.[Prakash], A new change detection benchmark dataset,
Dataset, Change Detection.

Walas, K.[Krzysztof], Leonardis, A.[Aleš],
UoB highly occluded object challenge (UoB-HOOC),
WWW Link. Dataset, Object Detection.

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,
WWW Link. Code, Active Appearance Model. Dataset, Active Appearance Model. AAM code and information. See also Technical University of Denmark.

Section, Multiple Entries: 13.4.6 Object Recognition, Retrieval Datasets Chapter Contents (Back)
Evaluation, Recognition. Dataset, Objects. Dataset, Retrieval.

The PASCAL Object Recognition Database Collection,
2006. Dataset, Objects.
HTML Version. Various datasets for object recognition. Pointers to some of the others.

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,
WWW Link. Dataset, Objects. Large set of images (or sets of datasets) for recognition. Related to ImageNet Challanges for recognition. Links to Stanford See also Stanford University, Computer Science Departent. and 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,
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.

WWW Link. Dataset, Object Recognition. Photo search for professional use. Searches stock databases, you then purchase the image for use. Part of CogniSign LLC.

MSR VTT Dataset,
A Large Video Description Dataset for Bridging Video and Language. WWW Link.
Dataset, Visual Question Answering.

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.
See also NIL. Dataset, Visual Question Answering.

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.
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,
WWW Link.
Dataset, Retrieval. Code, Annotation. The site for the annotation tool, also the video version.

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.

Sølund, T.[Thomas], Buch, A.G.[Anders Glent], Krüger, N.[Norbert], Aanæs, H.[Henrik],
A Large-Scale 3D Object Recognition Dataset,
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,
Dataset, RGB-D.
WWW Link. Cameras

Rotman, D.[Daniel], Gilboa, G.[Guy],
A Depth Restoration Occlusionless Temporal Dataset,
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,
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.[Leonidas], 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., Wang, L., Cervantes, C.M., Caicedo, J.C., Hockenmaier, J.[Julia], Lazebnik, S.[Svetlana],
Flickr30k Entities: Collecting Region-to-Phrase Correspondences for Richer Image-to-Sentence Models,
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,
Dataset, Object Recognition. Human Robot Interaction; Object Categorization Dataset; iCub

Ponomarenko, N.[Nikolay], Ieremeiev, O.[Oleg], Lukin, V.[Vladimir], Jin, L.[Lina], Egiazarian, K.[Karen],
A New Color Image Database TID2013: Innovations and Results,
Springer DOI
Dataset, Color Images.

Ponce, J., Berg, T.L., Everingham, M.R., Forsyth, D.A., Hebert, M., Lazebnik, S., Marszalek, M., Schmid, C., Russell, B.C., Torralba, A., Williams, C.K.I., Zhang, J., Zisserman, A.,
Dataset Issues in Object Recognition,
Springer DOI
Dataset, Discussion.

Campbell, R., and Flynn, P.J.,
A WWW-Accessible 3D Image and Model Database for Computer Vision Research,
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,
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

Geometric Context from a Single Image,
ICCV05(I: 654-661).
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,
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,
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,
PDF File.
Dataset, Retina.

MiniMammographic Database,
WWW Link. Dataset, Mammography.

DDSM: Digital Database for Screening Mammography,
2000, USF.
HTML Version. Dataset, Mammography.

Andreopoulos, A.[Alexander], Tsotsos, J.K.[John K.],
Cardiac MRI dataset,
WWW Link. Dataset, Cardiac MRI.

Hopkins 155,
Motion Dataset Online2007.
WWW Link. Dataset, Motion. Testing feature based motion segmentation algorithms. See also Johns Hopkins University.

UCF Parking Lot Tracking,
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).
WWW Link. Dataset, Actions.

And: CVPR05(II: 1182).
See also Georgia Tech.

Jaynes, C., Kale, A., Sanders, N., Grossmann, E.,
The Terrascope Dataset: Scripted Multi-Camera Indoor Video Surveillance with Ground-truth,
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.
Code, Tracking. Dataset, Tracking.
Earlier: A1, A3, A2:
Simultaneous learning of motion and appearance,

Earlier: A1, A3, A2:
Adaptive Parameter Optimization for Real-time Tracking,

Earlier: A1, A3, A2:
Multiview 3D Tracking with an Incrementally Constructed 3D Model,
Learning approach to tracking. Estimation of the pose given the pose of the previous frame. Matlab implementation available.
WWW Link.

OTCBVS Benchmark Dataset Collection,
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.
Dataset, Tracking. Airplanes

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,
HTML Version. Dataset, Surveillance.

UCF Action Recogniton Dataset 101,
WWW Link.

Earlier: UCF Action Recogniton Dataset 50,
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.

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,
WWW Link. Dataset, Road Scenes. Stereo, Lidar, GPS, etc. See also Vision meets robotics: The KITTI dataset.

Hollywood2 Human Actions and Scenes Dataset,
WWW Link. Dataset, Surveillance.
Part originally from: See also Actions in context.

HMDB: a large human motion database,
WWW Link. Dataset, Surveillance.
51 actions. See also HMDB: A large video database for human motion recognition.

Tenorth, M.[Moritz], Bandouch, J.[Jan], Beetz, M.[Michael],
The TUM Kitchen Data Set of everyday manipulation activities for motion tracking and action recognition,
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).
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.[Haonan], 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.

Patino, L.[Luis], Ferryman, J.M.[James M.],
PETS 2014: Dataset and challenge,
Dataset, Surveillance. Cameras

Hadfield, S.[Simon], Bowden, R.[Richard],
Hollywood 3D: Recognizing Actions in 3D Natural Scenes,
Dataset, Attion Recognition. Hollywood3D dataset. 3.5d

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,

Liu, C.[Ce], Freeman, W.T.[William T.], Adelson, E.H.[Edward H.], Weiss, Y.[Yair],
Human-assisted motion annotation,
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,
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.

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,
WWW Link. Dataset, Activity Recogniton. Beyound the Visual Spectrum (IR especially). Data for various OTCBVS workshops.

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,
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.[Antonio], Song, B.[Bi], Fong, A.[Anesco], Roy-Chowdhury, A.[Amit], Desai, M.[Mita],
A large-scale benchmark dataset for event recognition in surveillance video,

And: AVSBS11(527-528).
Dataset, Action Recognition. Dataset, Event Recognition.

MIT Car Database MITC,
HTML Version. Dataset, 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,
Springer DOI
Dataset, Vehicle Detection.

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,
Dataset, Traffic. automotive

Massoz, Q., Langohr, T., Francois, C., Verly, J.G.,
The ULg multimodality drowsiness database (called DROZY) and examples of use,
Dataset, Driver Monitoring. Cameras

Zelnik-Manor, L.[Lihi], Irani, M.[Michal],
Statistical Analysis of Dynamic Actions,
PAMI(28), No. 9, September 2006, pp. 1530-1535.

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.
Automatic Discovery of Action Taxonomies from Multiple Views,
CVPR06(II: 1639-1645).

And: A1, A3, A2:
Action Recognition from Arbitrary Views using 3D Exemplars,
Action recognition; View invariance; Volumetric reconstruction

Bossard, L.[Lukas], Guillaumin, M.[Matthieu], Van Gool, L.J.[Luc J.],
Event Recognition in Photo Collections with a Stopwatch HMM,
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).
HTML Version. Dataset, Actions.
See also Georgia Tech.

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.
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,
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,
Dataset, Actions.

Munder, S., Gavrila, D.M.[Dariu M.],
An Experimental Study on Pedestrian Classification,
PAMI(28), No. 11, November 2006, pp. 1863-1868.
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,
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,
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,
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

Zheng, L.[Liang], Bie, Z.[Zhi], Sun, Y.[Yifan], Wang, J.D.[Jing-Dong], Su, C.[Chi], Wang, S.[Shengjin], 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.[Jacinto], Bernardino, A.[Alexandre],
The HDA+ Data Set for Research on Fully Automated Re-identification Systems,
Springer DOI
Dataset, Re-Identification.

Bialkowski, A., Denman, S., Sridharan, S., Fookes, C., Lucey, P.,
A Database for Person Re-Identification in Multi-Camera Surveillance Networks,
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,

ViHASi: Virtual human action silhouette data for the performance evaluation of silhouette-based action recognition methods,

And: VNBA08(77-84).
DOI Link

A Novel Approach for Fast Action Recognition using Simple Features,
Dataset, Action Recognition. Silhouette based action recognition.

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

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,
Dataset, Gait Recognition.

CMU Graphics Lab Motion Capture Database,
WWW Link. Dataset, Motion Capture. Code, Motion Capture. 2000+ examples of motion capture data. Includes some software.

Kuehne, H., Jhuang, H., Garrote, E., Poggio, T., Serre, T.,
HMDB: A large video database for human motion recognition,
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.

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.
Dataset, Actions.
HTML Version.
Earlier: A2, A1, A3, A4, A5: ICCV05(II: 1395-1402).
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.

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

Shahroudy, A., Liu, J., Ng, T.T., Wang, G.,
NTU RGB+D: A Large Scale Dataset for 3D Human Activity Analysis,
Dataset, Human Activity.

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.
WWW Link.

Earlier: A3, A1, A2, Only:
Recognizing human actions: a local SVM approach,
ICPR04(III: 32-36).
Dataset, Actions.
WWW Link. Motion; Local features; Motion descriptors; Matching; Velocity adaptation; Action recognition; Learning; SVM

Ofli, F., Chaudhry, R., Kurillo, G., Vidal, R., Bajcsy, R.,
Berkeley MHAD: A comprehensive Multimodal Human Action Database,
Dataset, Human Actions.

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,
Springer DOI
Dataset, Action Recognition.

Burger, S.[Susanne],
The CHIL RT07 Evaluation Data,
Springer DOI
Dataset, Activity Recogniton.

CVBASE Annotated Video Data,
HTML Version. Dataset, Video.

UCF Sports Action Dataset,
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,
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).

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,
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,
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.

Abrams, A.[Austin], Tucek, J.[Jim], Little, J.[Joshua], Jacobs, N.[Nathan], Pless, R.[Robert],
LOST: Longterm Observation of Scenes (with Tracks),
Using the data, same half hour every day. Dataset, Surveillance.

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,
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,
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),
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,
Springer DOI
Dataset, Foreground Extraction. Surveillance applications.

Image Stitching Database,
HTML Version. Dataset, Image Stitching.

Stottinger, J.[Julian], Zambanini, S.[Sebastian], Khan, R.[Rehanullah], Hanbury, A.[Allan],
FeEval A Dataset for Evaluation of Spatio-temporal Local Features,
Dataset, Motion.

Xiao, J.X.[Jian-Xiong], Owens, A.[Andrew], Torralba, A.[Antonio],
SUN3D: A Database of Big Spaces Reconstructed Using SfM and Object Labels,
Dataset, Scene Understanding.
WWW Link. RGB-D Video dataset. Camera pose and object labels. Interactive reconstruction process.

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,
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).
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.

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,
Dataset, Learning.

300 Videos in the Wild,
2015 Dataset, Faces.
WWW Link. Used for the ICCV 2015 workshop challenge.

WIDER Attribute dataset,
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,
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,
HTML Version. Dataset, Faces.

The ORL Database of Faces,
1992-1994. More recently called the AT&T database.
HTML Version. Dataset, Faces.

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,
WWW Link. Dataset, Faces.
WWW Link. Results in February 2007.

FacePix Database,
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).
PDF File.
Evaluation; data.

Phillips, P.J., Wechsler, H., Huang, J., Rauss, P.J.,
The FERET Database and Evaluation Procedure for Face-Recognition Algorithms,
IVC(16), No. 5, April 27 1998, pp. 295-306.
WWW Link.
Evaluation, Faces. Dataset, Faces.

The FERET Database,
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

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,
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,
Dataset, Facial Expressions.

Kemelmacher-Shlizerman, I., Seitz, S.M., Miller, D., Brossard, E.,
The MegaFace Benchmark: 1 Million Faces for Recognition at Scale,
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,
Dataset, Face Recognition.

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,
Springer DOI
Dataset, Faces.

Colombo, A.[Alessandro], Cusano, C.[Claudio], Schettini, R.[Raimondo],
UMB-DB: A database of partially occluded 3D faces,
Dataset, Faces.

Somanath, G.[Gowri], Rohith, M.V., Kambhamettu, C.[Chandra],
VADANA: A dense dataset for facial image analysis,
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,
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,
Dataset, Faces.

Bastanfard, A.[Azam], Nik, M.A.[Melika Abbasian], Dehshibi, M.M.[Mohammad Mahdi],
Iranian Face Database with age, pose and expression,
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,
WWW Link. Code, Face Recognition. Dataset, Faces. Listing of research groups, databases, and vendors.

Face Detection Home Page,
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.
Dataset, 3-D Data.
HTML Version. And
HTML Version.
3D Recognition and Segmentation of Objects in Cluttered Scenes,
WACV05(I: 8-13).

Region-based Matching for Robust 3D Face Recognition,
HTML Version.

Matching Tensors for Pose Invariant Automatic 3D Face Recognition,
SafeSecur05(III: 120-120).

Performance analysis of an improved tensor based correspondence algorithm for automatic 3d modeling,
ICIP04(III: 1951-1954).

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.
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.

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,
Dataset, Faces, Features.

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,
Dataset, Faces.

Yang, S., Luo, P.[Ping], Loy, C.C.[Chen Change], Tang, X.[Xiaoou],
WIDER FACE: A Face Detection Benchmark,
Dataset, Face Detection.

Schneiderman, H.[Henry], Kanade, T.[Takeo],
A Statistical Method for 3D Object Detection Applied to Faces and Cars,
CVPR00(I: 746-751).

A Histogram-based Method for Detection of Faces and Cars,
ICIP00(Vol III: 504-507).

Frontal Face Images,
WWW Link. Dataset, Faces. Combined CMU MIT face dataset.

CMU Profile Face Images,
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.

Li, S.Z.[Stan Z.], Yi, D.[Dong], Lei, Z.[Zhen], Liao, S.C.[Sheng-Cai],
The CASIA NIR-VIS 2.0 Face Database,
Dataset, Face Recognition. IR dataset.

Language Independent Lip Reading,
HTML Version. Dataset, Lip Reading.

OuluVS database,
WWW Link. Dataset, Lip Reading.

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,
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.
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,
Springer DOI
WWW Link.
Dataset, Faces.

Sharma, P.[Prag], Reilly, R.B.[Richard B.],
The UCD Colour Face Image Database for Face Detection,
WWW Link. Dataset, Faces.

Oulu-CASIA NIR&VIS facial expression database,
WWW Link. Dataset, Facial Expressions. 6 typical expressions from 80 subjects.

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.
Dataset, Facial Action. Databases

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,
Dataset, Facial Expressions. Conversations; Database; Facial Expressions

McDuff, D.[Daniel], el Kaliouby, R.[Rana], Senechal, T.[Thibaud], Amr, M.[May], Cohn, J.F.[Jeffrey F.], Picard, R.[Rosalind],
Affectiva-MIT Facial Expression Dataset (AM-FED): Naturalistic and Spontaneous Facial Expressions Collected 'In-the-Wild',
Dataset, Facial Expressions. Facial expressions;computer vision;dataset

Matuszewski, B.J.[Bogdan J.], Quan, W.[Wei], Shark, L.K.[Lik-Kwan],
High-resolution comprehensive 3-D dynamic database for facial articulation analysis,
Dataset, Facial Expressions.

CMU Facial Expression Database ,
1999 Dataset, Faces. Dataset, Facial Expression.
HTML Version. Includes annotation.

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,
Dataset, Facial Expression.

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,
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.
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.
Dataset, Emotion Recognition. Emotion recognition

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,
Dataset, Emotion.

Nguyen, H.[Hung], Kotani, K.[Kazunori], Chen, F.[Fan], Le, B.[Bac],
A Thermal Facial Emotion Database and Its Analysis,
Springer DOI
Dataset, Facial Expression.

Lyons, M.J., Akamatsu, S., Kamachi, M., Gyoba, J.,
Coding Facial Expressions with Gabor Wavelets,
IEEE DOI Dataset, Facial Expressions.
HTML Version. 213 images of 7 facial expressions, 10 Japanese female subjects.

The AR Face Database,
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.
The CMU Pose, Illumination, and Expression (PIE) Database of Human Faces,
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],
IVC(28), No. 5, May 2010, pp. 807-813.
Elsevier DOI
Dataset, Faces.
Earlier: FG08(1-8).
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,
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.
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.
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.
Dataset, Affective. copyright

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,
Dataset, Facial Expressions.

Sneddon, I., McRorie, M., McKeown, G., Hanratty, J.,
The Belfast Induced Natural Emotion Database,
AffCom(3), No. 1, 2012, pp. 32-41.
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,
Springer DOI
Dataset, Human Affect.

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,
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.
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.

Bloom, V.[Victoria], Makris, D.[Dimitrios], Argyriou, V.[Vasileios],
G3D: A gaming action dataset and real time action recognition evaluation framework,
Dataset, Gesture 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.

Long Term Arm and Hand Tracking for Continuous Sign Language TV Broadcasts,
PDF File.
PDF File. Data available. Dataset, Sign Language.
HTML Version.

The BANCA Database,
WWW Link. Dataset, Biometrics.

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.
WWW Link.
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.
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)

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,
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,
Dataset, Biometrics.

Messer, K., Matas, J., Kittler, J.V., Luettin, J., Maitre, G.,
XM2VTSDB: The Extended M2VTS Database,
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,
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,
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,
WWW Link. Dataset, Iris Images.
Visible and Infrared.

Dobeš, M.[Michal], and Machala, L.[Libor],
Iris Database,
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.
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,
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.
Dataset, Fingerprints.
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.

Validation and Verification of Neural Network Systems,
2006. Dataset, Segmentation.
HTML Version. 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.
HTML Version. See also Pascal: Pattern Analysis, Statistical Modelling and Computational Learning.

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.

Arbelaez, P.[Pablo], Fowlkes, C.C.[Charless C.], and Martin, D.R.[David R.],
The Berkeley Segmentation Dataset and Benchmark,
Online2007. Dataset, Segmentation. 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.

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.

Shi, B., Wu, Z., Mo, Z., Duan, D., Yeung, S.K., Tan, P.,
A Benchmark Dataset and Evaluation for Non-Lambertian and Uncalibrated Photometric Stereo,
Dataset, Photometric Stereo.

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,
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.

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,
Springer DOI
Dataset, Stereo.

Haeusler, R.[Ralf], Kondermann, D.[Daniel],
Synthesizing Real World Stereo Challenges,
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,
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,
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

Disparity Confidence Measures on Engineered and Outdoor Data,
Springer DOI

Benchmarking Stereo Data (Not the Matching Algorithms),
Springer DOI
Dataset, Stereo.

Janowski, A., Sawicki, P., Szulwic, J.,
Internet database for photogrammetric close range applications,
PDF File.
Dataset, Photogrammetry.

CVLab dense multi-view stereo image database,
HTML Version. Dataset, Stereo. Multiple views, ground level, of buildings

IS-3D: Data,
HTML Version. Dataset, Stereo. Multiple views of various structures.

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.

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.

MIT Texture Data,
1995. Dataset, Texture.
HTML Version.

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: 395

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

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