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.
Hey! If you're reading this, why not help and update the description of the dataset you're working on?
Add a new dataset
«showing 641 tags of 641 total tags for 459 datasets (1.4) »
|454||SBM-RGBD Dataset||The SBM-RGBD dataset [provides] all facilities (data, ground truths, and evaluation scripts) in order to evaluate and compare scene background modelling metho...||background modeling rgbd kinect video color depth benchmark indoor surveillance||link||2018-04-18||60|
|344||YACCLAB dataset||The YACCLAB dataset includes both synthetic and real binary images and is suitable for a wide range of applications, ranging from document processing to survail...||Labeling Binary Text Medical Fingerprint Video Surveillance Natural Random Noise||link||2017-11-28||554|
|327||PIROPO Database: People in Indoor ROoms with Perspective and Omnidirectional cameras||The PIROPO database (People in Indoor ROoms with Perspective and Omnidirectional cameras) comprises multiple sequences recorded in two different indoor rooms, u...||people surveillance perspective omnidirectional fisheye indoor room detection human||link||2017-02-16||1072|
|286||HDA Person Dataset - ISR Lisbon||The High Definition Analytics (HDA) dataset is a multi-camera High-Resolution image sequence dataset for research on High-Definition surveillance: Pedestrian De...||Video Surveillance Pedestrian Detection Re-Identification Multiview Tracking Benchmark Indoor High-Definition Camera Network lisbon human||link||2017-10-02||2188|
|279||WWW Crowd||The Where Who Why (WWW) dataset provides 10,000 videos with over 8 million frames from 8,257 diverse scenes, therefore offering a superior comprehensive dataset...||surveillance crowd pedestrian detection recognition flow optical video||link||2018-04-24||1293|
|259||MOT Challenge 2D and 3D||The MOT Challenge is a framework for the fair evaluation of multiple people tracking algorithms. In this framework we provide: - A large collection of datase...||3d tracking multiple target benchmark dataset people pedestrian surveillance video||link||2015-07-31||1480|
|254||ChokePoint Dataset||We collected a video dataset, termed ChokePoint, designed for experiments in person identification/verification under real-world surveillance conditions using e...||human pedestrian identification recognition multiview sequence face detection real world surveillance clustering||link||2015-05-02||1449|
|235||Kindergarten Video Surveillance||The dataset consist of the about 50 hours obtained from kindergarten surveillance videos. Dataset, totally approximately 100 videos sequences (1000GB, 50 hours)...||human action behavior segmentation video background surveillance||link||2015-10-08||1748|
|157||Background Models Challenge (BMC)||Background Models Challenge (BMC) is a complete dataset and competition for the comparison of background subtraction algorithms. The main topics concern: -...||background modeling change motion detection surveillance video segmentation||link||2016-02-24||1638|