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 615 tags of 615 total tags for 427 datasets (1.44) »
|427||CITY-OSM - ETH Zurich||# Learning Aerial Image Segmentation From Online Maps This is the ground truth data generated for the publication Learning Aerial Image Segmentation F...||semantic computer vision aerial image segmentation map geoscience remote sensing deep learning berlin chicaco paris potsdam tokyo zurich||link||2018-01-25||44|
|413||DPED: DSLR Photo Enhancement Dataset||We introduce a large-scale DPED dataset that consists of photos taken synchronously in the wild by three smartphones and one DSLR camera. The devices used to co...||dped image photo enhancement deep learning computer vision||link||2017-10-24||81|
|400||Visual Discriminative Question Generation (VDQG) dataset||The dataset contains 11202 ambiguous image pairs collected from Visual Genome. Each image pair is annotated with 4.6 discriminative questions and 5.9 non-discri...||vision language VQA question genome biology||link||2017-09-12||195|
|323||UT Egocentric (UT Ego) Dataset||The Univ. of Texas at Austin Egocentric (UT Ego) Dataset contains 4 videos captured from head-mounted cameras. Each video is about 3-5 hours long, captured in ...||First-person vision, egocentric||link||2016-03-17||517|
|249||Image Sequence Analysis Test Site (EISATS)||The .enpeda.. Image Sequence Analysis Test Site (EISATS) offers sets of long bi- or trinocular image sequences recorded in the context of vision-based driver as...||stereo vision optical flow motion analysis semantic segmentation||link||2014-09-30||1108|