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 562 tags of 562 total tags for 408 datasets (1.38) »
|398||Osnabruck - Gaze Tracking Data Set||Gaze data on video stimuli for computer vision and visual analytics. Converted 318 video sequences from several different gaze tracking data sets with polygo...||segmentation, gaze data, polygon annotation, video, metadata||link||2017-09-12||30|
|396||ADE20k||Scene Parsing Benchmark Scene parsing data and part segmentation data derived from ADE20K dataset could be download from MIT Scene Parsing Benchmark. mages ...||segmentation semantic annotation benchmark scene recognition||link||2017-08-03||64|
|388||Open Images Dataset||Today, we introduce Open Images, a dataset consisting of ~9 million URLs to images that have been annotated with labels spanning over 6000 categories. We tried ...||classification large-scale category real image deep annotation automatic||link||2017-07-02||107|
|372||VOT2016 segmentation||The VOT2016 pixel-wise annotations dataset contains pixel-wise per-frame annotations for sequences from VOT2016 dataset. The annotation is in a form of BW image...||object tracking segmentation mask annotation visual||link||2017-04-17||159|
|354||Facial Expression Research Group Database (FERG-DB), University of Washington, Seattle||FERG-DB is a database of stylized characters with annotated facial expressions. The database contains multiple face images of six stylized characters. The chara...||Face, Facial expression, Animation, Stylization, annotation emotion, deep learning, anger, sad, joy, disgust, surprise, neutral, fear, cardinal classification, human transfer, image retrieval||link||2017-02-27||413|
|353||COCO-Stuff||COCO-Stuff augments the COCO dataset with pixel-level stuff annotations for 10,000 images. These annotations can be used for scene understanding tasks like sema...||semantic segmentation stuff things COCO captioning annotation groundtruth benchmark||link||2017-02-16||462|
|161||ICG Annotated Facial Landmarks in the Wild (AFLW)||The Annotated Facial Landmarks in the Wild (AFLW) consists of a large-scale collection of annotated face images gathered from the web, exhibiting a large variet...||face detection landmark pose age annotation||link||2017-07-25||1980|