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 482 datasets (1.42) »
|409||NII Okutama-Action: An Aerial View Video Dataset for Concurrent Human Action Detection||We present Okutama-Action, a new video dataset for aerial view concurrent human action detection. It consists of 43 minute-long fully-annotated sequences with 1...||action detection aerial view uav drone pedestrian multi-human tracking||link||2017-09-20||677|
|299||CAMP-TUM: Multiple Human Pose Estimation from Multiple Views||We introduce the Shelf dataset for multiple human pose estimation from multiple views. In addition we annotate the body joints in the Campus dataset from CVLAB@...||3D human pose estimation multiple view motion capture||link||2015-07-15||899|
|210||Traffic Video dataset||The Traffic Video dataset consists of X video of an overhead camera showing a street crossing with multiple traffic scenarios. The dataset can be downloaded ...||urban traffic tracking detection overhead view road video||link||2014-02-03||3712|
|129||NBVbench||The NBVbench is a reference object and benchmark criteria for defining and evaluating the performance of a next best view (NBV) method. ...||reconstruction, view, planning, geometry||link||2013-04-16||891|
|124||CMU Geometric Context||The CMU Geometric Context dataset by Derek Hoiem, Alexei A. Efros, Martial Hebert consists of 300 images used for training and testing the geometric context met...||reconstruction, single view, depth, context, geometry||link||2016-06-29||1087|
|104||Make3D Depth||The Make3D Depth dataset s designed to learn features to estimate scene depth from a single image. This dataset contains aligned image and range data: Make3...||depth, learning, single view, outdoor, indoor||link||2018-03-16||1729|