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 411 datasets (1.37) »
|401||Berkeley DeepDrive Video||The Berkeley DeepDrive Video Dataset contains 2x order of magnitude more video training data....||urban autonomous driving deep learning endtoend||link||2017-08-21||95|
|399||Osnabruck - Synthetic Scalable Cube Dataset||Voxel Based Dataset for Systematic 3D reconstruction by artificial neural networks (ANNs). A synthetic scalable cube dataset for training, testing and valida...||3D, Deep Learning, Reconstruction, SfM, Synthetic city urban||link||2017-09-12||50|
|395||AWS Public Datasets||AWS hosts a variety of public datasets that anyone can access for free. Previously, large datasets such as satellite imagery or genomic data have required hour...||amazon classification deep learning segmentation recognition satellite human biology space image resolution||link||2017-07-28||104|
|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||444|
|328||UT Zappos50K||UT Zappos50K (UT-Zap50K) is a large shoe dataset consisting of 50,025 catalog images collected from Zappos.com. The images are divided into 4 major categories -...||fine-grained, ranking, local learning, pairwise comparison, shoes, attributes||link||2016-06-23||484|
|316||Extreme Classification Repository||The Extreme Classification Repository: Multi-label Datasets & Code Kush Bhatia • Himanshu Jain • Prateek Jain • Manik Varma The objective in extreme multi...||machine learning multilabel classification benchmark evaluation||link||2016-01-23||647|
|291||MIT Places205||Places205 dataase contains 2.5 million images from 205 scene categories for the academic public. The image dataset contains 2,448,873 images from 205 scene c...||place recognition urban scene feature learning||link||2016-02-24||771|
|256||Multi-Task Facial Landmark (MTFL) dataset||This dataset contains 12,995 face images which are annotated with (1) five facial landmarks, (2) attributes of gender, smiling, wearing glasses, and head pose. ...||face, landmark detection, deep learning, cnn, attribute||link||2015-11-07||1561|
|184||MSR Learning to Rank||The MSR Learning to Rank are two large scale datasets for research on learning to rank: MSLR-WEB30k with more than 30,000 queries and a random sampling of it MS...||rank learning sampling search||link||2013-09-05||706|
|147||FlickrLogos-32||The FlickrLogos-32 dataset contains photos showing brand logos and is meant for the evaluation of multi-class logo recognition as well as logo retrieval methods...||flickr, logo, detection, retrieval, image, object recognition, machine learning, classification brand boundingbox||link||2017-05-27||1144|
|146||Multiple Instance Learning dataset||MIL data sets used in our 2002 NIPS paper for Elepphant, Musk, TREC http://www.cs.cmu.edu/~juny/MILL/MIL-experiments.htm...||machine learning, classification||link||2013-05-30||776|
|145||KnapSack||KNAPSACK_01 is a dataset directory which contains some examples of data for 01 Knapsack problems. In the 01 Knapsack problem, we are given a knapsack of fixe...||machine learning, classification||link||2013-05-31||805|
|104||Make3D Depth||The Make3D Depth dataset s designed to learn features to estimate scene depth from a single image. This dataset contains aligned image and range data: Make3...||depth, learning, single view, outdoor, indoor||link||2013-03-12||1262|
|51||PN Learning||PN Learning - How does TLD work? Tracking estimates the object location as long as the object is visible. During tracking all observed patterns of the object...||singletarget tracking learning object pedestrian bike face||link||2015-06-19||693|