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, 2011-2018. Texts and Images are subject of copyright by the respective authors.
Hey! If you're reading this, why not help and update the description of the dataset you're working on? Add a new dataset! Yay!
«showing 684 tags of 684 total tags for 487 datasets (1.4) »
|118||Hermann Maier Nagano 1998||The Hermann Maier Nagano 1998 dataset is used for deformable extremely difficult tracking scenario. There are 4 parts to this sequence a) 00088 - 00554 Maie...||tracking, single, trajectory, clutter, deformation||n/a||2013-03-12||968|
|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||1197|
|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||1085|
|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||1593|
|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||990|
|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||1482|
|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||1502|