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 684 tags of 684 total tags for 487 datasets (1.4) »
|478||UE4Sim and Sim4CV||Sim4CV is the general environment for simulating data for computer vision tasks, like object tracking, pose estimation, detection, action recognition, indoor sc...||object tracking, pose estimation, detection, action recognition, indoor scene understanding, multi-agent collaboration, autonomous navigation, 3d reconstruction, crowd understanding, urban scene understanding, human tracking, aerial surveying. simulation environment 3d photo-realistic realism depth segmentation urban rgb render||link||2018-11-30||159|
|477||House3D: A Rich and Realistic 3D Environment||House3D is a virtual 3D environment which consists of thousands of indoor scenes equipped with a diverse set of scene types, layouts and objects sourced from th...||house indoor simulation environment 3d photo-realistic realism depth segmentation urban rgb render||link||2018-11-30||91|
|376||ScanNet||ScanNet is an RGB-D video dataset containing 2.5 million views in more than 1500 scans, annotated with 3D camera poses, surface reconstructions, and instance-le...||scene indoor synthetic cad room layout rendering realism 3d segmentation object recognition||link||2017-05-12||519|
|375||SUNCG: Indoor Scenes||The SUNCG dataset is a Large 3D Model Repository for Indoor Scenes. SUNCG is an ongoing effort to establish a richly-annotated, large-scale dataset of 3D s...||scene indoor synthetic room layout rendering realism 3d segmentation object recognition||link||2018-10-17||682|