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
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«showing 641 tags of 641 total tags for 459 datasets (1.4) »
|442||YouTube Co-localization Dataset (ECCV + IEEE Trans. CSVT papers) [GEU and NTU]||The dataset consists of bounding box annotations for 15k frames of videos collected from YouTube Objects Dataset. If you find this dataset useful, kindly ci...||Co-localization Co-segmentation Co-saliency Video CATS Tracklet Benchmark Binary Object Retrieval Segmentation Semantic Similarity Tracking Matching Localization||link||2018-03-21||107|
|344||YACCLAB dataset||The YACCLAB dataset includes both synthetic and real binary images and is suitable for a wide range of applications, ranging from document processing to survail...||Labeling Binary Text Medical Fingerprint Video Surveillance Natural Random Noise||link||2017-11-28||552|
|290||UWO GCO Volume Segmentation||The Western GCO Segmentation problem instances are provided to compare effects of graph size, neighborhood size, length of s to t paths, regional arc consistenc...||medical liver babyface bone abdomen adhead face segmentation binary optimization||link||2015-06-19||680|
|277||Detail 2D Projection DataSet||Detail 2D Projection DataSet is a database of 2d projections of mechanical details with holes. The dataset consists of 13 shape categories where each category i...||shape, holes, detail, binary, matching, retrieval||link||2015-05-10||706|
|114||TUD Shapes 1+2||This material is supplementary to Michael Stark, Bernt Schiele. How Good are Local Features for Classes of Geometric Objects. Eleventh IEEE International C...||shape object classification tool binary||link||2013-08-08||888|
|85||Leaves||The Leaves dataset from X contains X images of leaves. Leaves dataset taken by Markus Weber. California Institute of Technology PhD student under Pietro Per...||shape, binary, matching, retrieval, partial||n/a||2015-12-25||1053|
|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||3193|
|8||Tools2D||The Tools 2D dataset from Bronstein, Bronstein, Bruckstein, and Kimmel [?] for partial similarity experiments and consists of 15 shapes: 5 humans, 5 horses and ...||shape, binary, matching, retrieval, partial||link||2014-02-11||1242|
|7||Mythological Creatures||The Mythological Creatures consists of articulated shapes (silhouettes) for partial similarity experiments and contains 15 shapes: 5 humans, 5 horses and 5 cent...||shape, binary, matching, retrieval, partial, animal||link||2015-06-23||1352|
|6||SIID||The SIID silhouette dataset contains... and is from the Shape Indexing of Image Database (SIID). Download SIID silhouette dataset http://www.lems.brown.edu/...||shape, binary, matching, retrieval||link||2017-03-02||1435|
|5||KIMA216||The Kimia 216 has 18 classes each consisting of 12 images. It contains shapes silhouettes for birds, bones, brick, camels, car, children, classic cards, elephan...||shape, binary, matching, retrieval, kimia, animal||link||2017-09-27||1685|
|4||KIMA99||The Kimia 99 has 9 classes each consisting of each 11 images. They are part of the Shape Indexing of Image Database (SIID) project, which also contains the SIID...||shape, binary, matching, retrieval, kimia||link||2015-07-29||1371|
|3||KIMIA25||The Kimia 25 consists of 6 classes and 25 images. They are part of the Shape Indexing of Image Database (SIID) project, which also contains the SIID silhouette ...||shape binary matching retrieval kimia||link||2015-08-26||1105|
|2||MPEG-7 Core Experiment CE-Shape-1||MPEG-7 Core Experiment CE-Shape-1 [?] is a popular database for shape matching evaluation consisting of 70 shape categories, where each category is represented ...||shape, binary, matching, retrieval, bullseye||link||2017-03-02||2110|