Yet Another Computer Vision Index To Datasets (YACVID)

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!



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  steganography   stem   stereo   stochastic   street   structure   structured   study   stuff   style   stylization   subpixel   subtraction   summarization   summary   superpixel   superresolution   supervised   supervisely   surface   surgery   surprise   surveillance   surveying.   swan   switzerland   sydney   symmetry   synthetic   table   target   task   taxonomy   temporal   text   textile   texture   texture-less   therapy   thermal   things   time   time-lapse   tiny   tokyo   tool   top-view   topcoder   tracking   tracklet   traffic   trajectory   transfer   transportation   tree   triangulation   trunk   truth   tuberculosis   turbulence   type   uas   uav   udacity   ultrasound   understanding   uneven   unmanned   unsupervised   urban   use   user   vanishing   variation   vegetation   vehicle   velodyne   vessel   video   view   viewpoint   virtual   visible   vision   visual   voc   volleyball   vqa   vt   water   wavelength   weakly   wear   wearable   weather   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«showing 697 tags of 697 total tags for 516 datasets (1.35) »


rank
DID Name Description Tags URL Date Views
184 MSR Learning to Rank The MSR Learning to Rank are two large scale datasets for research on learning to rank: MSLR-WEB30k with more than 30,000 queries and a random sampling of it MS... rank learning sampling search link 2019-08-16 1189


total views: 1189 5 queries in 3.7193298339844E-5s 2.288818359375E-5s 9.608268737793E-5s 0.00019598007202148s 0.0013430118560791s and total 0.0075719356536865s