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.
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«showing 635 tags of 635 total tags for 443 datasets (1.43) »
|287||INRIA Lafarge Benchmarks||Some datasets and evaluation tools are provided on this page for four different computer vision and computer graphics problems. Population counting Line-ne...||3d surface reconstruction groundtruth pointcloud object detection line road network urban crowd pedestrian counting||link||2015-06-18||1014|
|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||2015-05-27||1208|
|263||Crowd Dataset||The crowd datasets are collected from a variety of sources, such as UCF and data-driven crowd datasets. The sequences are diverse, representing dense crowd in t...||crowd video detection anomaly scene understanding human pedestrian||link||2017-09-19||1752|
|243||PEdesTrian Attribute (PETA) dataset||A new large-scale PEdesTrian Attribute (PETA) dataset. The dataset is by far the largest of its kind, covering more than 60 attributes on 19000 images. In comp...||Pedestrian, crowd||link||2017-12-14||2510|
|239||CUHK crowd dataset||CUHK crowd dataset introduces the largest publicly available crowd dataset of 474 videos from 215 crowded scenes. It has been used in the paper: Scene-Ind...||crowd analysis group detection analysis scene understanding dataset||link||2018-03-22||1467|
|169||QMUL Junction Dataset||The QMUL Junction dataset is a busy traffic scenario for research on activity analysis and behavior understanding. Video length: 1 hour (90000 frames) Fra...||detection tracking crowd counting pedestrian video motion behavior||link||2016-12-06||1529|
|168||Mall Dataset||The Mall dataset was collected from a publicly accessible webcam for crowd counting and profiling research. Ground truth: Over 60,000 pedestrians were label...||detection tracking crowd counting pedestrian indoor video webcam||link||2016-12-06||1874|
|165||ICG Multi-Camera and Virtual PTZ||The ICG Multi-Camera and Virtual PTZ dataset contains the video streams and calibrations of several static Axis P1347 cameras and one panoramic video from a sph...||multiview pedestrian tracking detection object camera calibration graz network video panorama crowd outdoor multitarget||link||2017-08-19||1459|
|151||People in WBCN||This dataset is for people tracking in wide baseline camera networks and was designed as a contest at ICPR 2012. The contest consists of two challenges: ...||detection, tracking, pedestrian, trajectory, crowd, overlap, occlusion, aerial||link||2013-08-02||1466|
|150||SDHA Contest||The Semantic Description of Human Activities (SDHA) was a contest at ICPR 2010. The contest is composed of three different types of activity recognition cha...||detection, tracking, pedestrian, trajectory, crowd, overlap, occlusion, aerial||link||2013-07-31||1088|
|107||BIWI Pedestrians||We provide the three datasets used for testing our system for our ICCV 2007 publication, including annotations. Data was recorded using a pair of AVT Marlins mo...||detection, tracking, pedestrian, trajectory, crowd, overlap, occlusion||link||2013-03-12||1304|
|106||BIWI Walking Pedestrians (EWAP)||The BIWI Walking Pedestrians (EWAP) dataset shows walking pedestrians in busy scenarios from a bird eye view. Manually annotated. Data used for training in our ...||detection, tracking, pedestrian, trajectory, crowd, overlap, occlusion, aerial||link||2013-08-02||1879|
|60||PSU HUB||The PSU HUB dataset is a detection, tracking dataset. Ground truth trajectory and grouping information for pedestrians walking in the PSU student union building...||detection, tracking, pedestrian, trajectory, crowd, overlap, occlusion||link||2013-07-19||1204|