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 562 tags of 562 total tags for 408 datasets (1.38) »
|24||UIUC Cars||This UIUC Cars dataset by Shivani Agarwal, Aatif Awan and Dan Roth contains images of side views of cars for use in evaluating object detection algorithms. The ...||car, sideview, detection, scale, recognition, urban, scale||link||2013-10-08||1017|
|14||INRIA People||The INRIA People dataset from Navneet Dalal and Bill Triggs [DalalCVPR2005] consists of training and testing data. The training contains 1805 images and X peopl...||detection, pedestrian, sideview, frontview, human, boundingbox||link||2015-06-19||1230|
|12||TUD Pedestrians training||The TUD Pedestrians training dataset from Micha Andriluka, Stefan Roth and Bernt Schiele consists of 210 and 400 training images with X pedestrians with signifi...||segmentation, pedestrian, sideview||link||2013-03-11||1382|
|11||TUD Campus||The TUD Campus dataset from Micha Andriluka, Stefan Roth and Bernt Schiele consists of 71 images and 303 highly overlapping pedestrians with large scale changes...||segmentation, pedestrian, sideview, overlap||link||2013-03-11||1201|
|10||TUD Pedestrians||The TUD Pedestrians dataset from Micha Andriluka, Stefan Roth and Bernt Schiele [AndrilukaCVPR2008] consists of 250 images with 311 fully visible people with si...||segmentation, pedestrian, sideview||link||2015-05-26||1466|
|9||TUD Crossing tracking||The TUD Crossing dataset from Micha Andriluka, Stefan Roth and Bernt Schiele consists of 201 images with 1008 highly overlapping pedestrians with significant va...||tracking detection segmentation multitarget pedestrian sideview overlap urban||link||2015-06-19||1763|