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!
«showing 697 tags of 697 total tags for 495 datasets (1.41) »
|448||EPIC-KITCHENS||EPIC-KITCHENS, is the largest egocentric video benchmark recorded by 32 participants in their native kitchen environments. Our videos depict non-scripted daily ...||action egocentric video benchmark kitchen cooking food activity daily worldwide||link||2018-04-11||238|
|439||Cornell Activity Datasets: CAD 60 & CAD 120||The CAD-60 and CAD-120 data sets comprise of RGB-D video sequences of humans performing activities which are recording using the Microsoft Kinect sensor. CAD...||activity action affordance rgbd video daily human kinect||link||2018-03-15||219|
|434||Online RGBD Action Dataset (ORGBD)||The Online RGBD Action dataset targets for human aciton (human-object interaction) recognition based on RGBD video data. There are seven categories of human act...||action rgbd online human recognition daily||link||2019-04-04||264|
|433||20bn-Something-Something||The 20BN-SOMETHING-SOMETHING dataset is a large collection of densely-labeled video clips that show humans performing pre-defined basic actions with everyday ob...||action recognition human video daily||link||2018-03-15||311|
|410||Charades Activity Dataset||10,000 30sec videos from 267 volunteers, each annotated with multiple activities, captions, objects, and temporal localizations. From "Hollywood in Homes: Cr...||video activity recognition action object caption localization detection human daily||link||2019-04-10||459|