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 411 datasets (1.37) »
|302||CMP map2photo||The CMP map2photo dataset consists of 6 pairs, where one image is satellite photo and second image is a map of the same area. The task is to match these images...||feature detection description matching map remote sensing wide baseline||link||2015-08-13||655|
|301||CMP Extreme Zoom Dataset||The Extreme Zoom Dataset. EZD is a 6 image sets with incleasing zoom factor from general scene view to focusing on single detail. MODS: Fast and Robust Metho...||feature detection description matching viewpoint zoom||link||2015-07-15||561|
|300||CMP WxBS dataset||The Wide (multiple) Baseline Dataset. 31 image pairs, simultaneously combining several nuisance factors: geometry, illumination, IR-visible, etc. WxBS: Wide ...||feature detection description matching viewpoint IR day night||link||2015-07-15||876|
|224||CMP Extreme View Dataset||15 wide baseline stereo image pairs with large viewpoint change, provided ground truth homographies. Image size (~1000x700 pixels, RGB) D. Mishkin and M. ...||feature detection description matching viewpoint||link||2015-07-15||918|
|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||812|
|53||DTU Robot||The DTU Robot dataset consists of color images of 60 scenes acquired in a controlled setup from 119 different positions and under different lighting. For each s...||feature, detection, description, matching, sfm, reconstruction, illumination||link||2016-05-15||834|