This website provides a list of frequently used computer vision datasets. Wait, there is more!
There is also a description containing common problems, pitfalls and characteristics and now a searchable TAG cloud.
Plus, this is open for crowd editing (if you pass the ultimate turing test)! - Questions? yacvid [at] hayko [dot] at
Content, Design and Idea © by Hayko Riemenschneider, 2011-2016. Texts and Images are subject of copyright by the respective authors.
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«showing 529 tags of 529 total tags for 385 datasets (1.37) »
|292||Mobile Phone and Webcam Hand Images for Personal Authentication and Identification||This work attempts to provide two Hand Images Databases for hand biometrics: one is created using a mobile phone camera of modest quality, which we called mob...||mobile webcam hand authentication Identification person biometric shape segmentation||link||2015-11-09||513|
|254||ChokePoint Dataset||We collected a video dataset, termed ChokePoint, designed for experiments in person identification/verification under real-world surveillance conditions using e...||human pedestrian identification recognition multiview sequence face detection real world surveillance clustering||link||2015-05-02||991|
|211||POSTECH Labeled Faces in the Wild||POS Labeled Faces in the Wild, a collection of face which is proposed for studying face identification in unconstrained environment, its purpose is serving as a...||face identification wild recognition registration||link||2015-09-10||970|
|162||ICG PRID 2011||The Person Re-ID (PRID) 2011 dataset was created in co-operation with the Austrian Institute of Technology for the purpose of testing person re-identification a...||pedestrian classification identification multiview trajectory illumination appearance change graz||link||2017-06-20||953|
|140||RGB-D Person Re-identification||The RGB-D Person Re-identification dataset is for person re-identification using depth information. The main motivation is that the standard techniques (such as...||identification, classification, shape, depth, pedestrian, 3d||link||2014-10-08||912|