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 529 tags of 529 total tags for 380 datasets (1.39) »
|346||LASIESTA (Labeled and Annotated Sequences for Integral Evaluation of SegmenTation Algorithms)||LASIESTA is composed by many real indoor and outdoor sequences organized in diferent categories, each of one covering a specific challenge in moving object dete...||Database; Dataset; Ground-truth; Moving object detection; Foreground detection; Background subtraction; Challenges; Stationary foreground; Moving camera||link||2016-10-31||209|
|273||SBMI 2015||Scene Background Initialization (SBI) dataset The SBI dataset has been assembled in order to evaluate and compare the results of background initialization al...||change detection background initialization foreground benchmark||link||2015-05-02||449|
|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||1017|
|173||MuHAVi and MAS human action||The Multicamera Human Action Video Data (MuHAVi) Manually Annotated Silhouette Data (MAS) are two datasets consisting of selected action sequences for the eval...||human action behavior segmentation video background||link||2017-04-04||1252|
|163||TUGRAZ ICG Longterm Pedestrian Dataset||The Longterm Pedestrian dataset consists of images from a stationary camera running 24 hours for 7 days at about 1 fps. It used for adaptive detection and back...||pedestrian change detection background illumination robust indoor coffee graz multitarget||link||2015-06-19||856|
|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||1210|
|113||Penn-Fudan Pedestrian||Penn-Fudan Pedestrian Detection and Segmentation...||pedestrian detection segmentation background motion||link||2013-08-08||753|
|111||Grabcut||To evaluate our method we designed a new ground truth database of 50 images. The following zip-files contain: Data, Segmentation, Labelling - Lasso, Labelling -...||segmentation, boundingbox, color, optimization, background||link||2015-06-19||555|
|88||Change Detection||The dataset folder contains 7 folders (one for each category). Each category folder contains 4 to 6 folders (one for each video). Each video folder contains: ...||change, detection, background||link||2013-03-13||616|
|23||Graz02||The Graz02 dataset by Andreas Opelt and Axel Pinz contains four categories of images: bikes, people, cars and a single background class. The annotation has been...||bike, pedestrian, background, detection, clutter, car, graz||link||2014-04-24||908|
|22||Graz01||The Graz01 dataset by Andreas Opelt and Axel Pinz contains four types of images: bikes, people, background with no bikes, background with no people....||bike, pedestrian, background, detection, clutter, graz, occlusion||link||2013-08-08||904|
|18||Leeds Cows||The Leeds Cows dataset by Derek Magee consists of 14 different video sequences showing a total of 18 cows walking from right to left in front of different backg...||detection segmentation cow video background animal||link||2013-08-08||746|