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 635 tags of 635 total tags for 443 datasets (1.43) »
|75||ETHZ Shape||The ETHZ Shape classes dataset from Vittorio Ferrari [?] consists of five object classes and a total of 255 images. All classes contain significant intra-class ...||shape, detection, matching, segmentation, clutter, applelogo, bottle, giraffe, nature, swan, mug||link||2014-02-11||961|
|58||INRIA Horses||The INRIA Horses dataset from Frederic Jurie and Vittorio Ferrari consists of 170 images with one or more horses in side-view at several scales and cluttered ba...||detection, shape, segmentation, clutter, nature, horse||link||2013-03-11||888|
|57||Weizmann Horses||The multi-scale Weizmann horses (originally from Eran Borenstein, adapted by Jamie Shotton) consists of 656 images which is split into 50+50training, 50+50 vali...||detection, shape, segmentation, clutter, nature, horse||link||2013-03-11||1260|
|56||ETHZ Extended Shape||The ETHZ Extended Shape classes dataset from Konrad Schindler is larger dataset of shape categories, created by merging ETHZ shape classes with Konrad Schindler...||detection, shape, segmentation, clutter||link||2013-03-11||835|
|23||Graz02||The Graz02 dataset by Andreas Opelt and Axel Pinz contains four categories of images: bikes, people, cars and a single background class. The annotation has been...||bike, pedestrian, background, detection, clutter, car, graz||link||2014-04-24||1207|
|22||Graz01||The Graz01 dataset by Andreas Opelt and Axel Pinz contains four types of images: bikes, people, background with no bikes, background with no people....||bike, pedestrian, background, detection, clutter, graz, occlusion||link||2013-08-08||1223|