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 524 tags of 524 total tags for 372 datasets (1.41) »
|319||Visual Search Patches||The Compact Descriptors for Visual Search Patches Dataset (CDVS) is a dataset comprised of pairwise image patches. MPEG is a standard titled Compact Descriptor...||patch matching retrieval descriptor feature mpeg||link||2016-02-11||284|
|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||421|
|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||363|
|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||533|
|291||MIT Places205||Places205 dataase contains 2.5 million images from 205 scene categories for the academic public. The image dataset contains 2,448,873 images from 205 scene c...||place recognition urban scene feature learning||link||2016-02-24||603|
|262||PHOS (Evaluating illumination invariance)||Phos is a color image database of 15 scenes captured under different illumination conditions. Every scene of the database contains 15 different images: 9 images...||Illumination invariance, real lighting conditions, uneven illumination, shadows, feature detection||link||2017-03-20||517|
|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||742|
|209||Symmetry Set||The Symmetry set dataset is a collection of images at different illuminations for the purpose of image matching using local symmetry features. Image Matching...||symmetry matching feature image illumination lighting urban building||link||2013-11-05||703|
|200||Landmark 3D||This dataset provides a collection of web images and 3D models for research on landmark recognition (especially for methods based on 3D models). We hope it coul...||landmark recognition classification retrieval 3d reconstruction codebook matching feature flickr||link||2016-08-09||886|
|119||AdelaideRMF||AdelaideRMF: Robust Model Fitting Data Set AdelaideRMF is a data set for robust geometric model fitting (homography estimation and fundamental matrix estimat...||feature, matching, getry, model||link||2017-04-17||924|
|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||670|
|52||Graffiti||The Graffiti dataset by Krystian Mikolajczyk and Cordelia Schmid contains 48 images split into 8 sequences with 6 images each showing different structured and t...||feature, detection, description, rectification, benchmark||link||2017-02-23||639|
|49||PhotoTourism Pair||The data is taken from Photo Tourism reconstructions from Trevi Fountain (Rome), Notre Dame (Paris) and Half Dome (Yosemite). Each dataset consists of a series ...||feature, matching, description, pair, sfm||link||2013-03-11||709|
|48||CALTECH 101 Category Patch Pairs||The CALTECH 101 Category Patch Pairs dataset measures invariance to intra-category variation. The dataset contains a training set and testing set of image patc...||feature, matching, description, pair, binary||link||2017-02-14||2838|