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 529 tags of 529 total tags for 379 datasets (1.4) »
|374||SceneNet RGB-D Synthetic Indoor||SceneNet RGB-D is dataset comprised of 5 million Photorealistic Images of Synthetic Indoor Trajectories with Ground Truth. It expands the previous work of Scene...||scene indoor synthetic robot navigation rendering 3d reconstruction trajectory lighting segmentation slam||link||2017-05-02||36|
|340||Ljubljana CVL Face Database||Database contains 798 images of 114 persons, with 7 images per person and is freely available for research purposes. All images were taken in supervised conditi...||face pedestrian person recognition biometry human illumination lighting||link||2017-02-22||211|
|339||Annotated Web Ears Dataset (AWE Dataset)||Dataset contains 1000 images of 100 persons, with 10 images per person and is freely available. All images were acquired by cropping ears from images from the i...||ear biometry person pedestrian recognition human lighting||link||2017-02-16||190|
|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||563|
|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||2017-05-03||747|