CVonline: Image Databases

This is a collated list of image and video databases that people have found useful for computer vision research and algorithm evaluation.

An important article How Good Is My Test Data? Introducing Safety Analysis for Computer Vision (by Zendel, Murschitz, Humenberger, and Herzner) introduces a methodology for ensuring that your dataset has sufficient variety that algorithm results on the dataset are representative of the results that one could expect in a real setting. In particular, the team have produced a Checklist of potential hazards (imaging situations) that may cause algorithms to have problems. Ideally, test datasets should have examples of the relevant hazards.

Index by Topic

Other helpful sites are:

Academic Torrents - computer vision - a set of 30+ large datasets available in BitTorrent form Machine learning datasets - see CV tab YACVID - a tagged index to some computer vision datasets

Action Databases

See also: Action Recognition's dataset summary with league tables (Gall, Kuehne, Bhattarai).

Agriculture

Attribute recognition

Autonomous Driving

Camera calibration

Catadioptric camera calibration images (Yalin Bastanlar) [Before 28/12/19] GoPro-Gyro Dataset - This dataset consists of a number of wide-angle rolling shutter video sequences with corresponding gyroscope measurements (Hannes etc.) [Before 28/12/19] LO-RANSAC - LO-RANSAC library for estimation of homography and epipolar geometry(K. Lebeda, J. Matas and O. Chum) [Before 28/12/19]

Face and Eye/Iris Databases

Fingerprints

General Images

General RGBD and Depth Datasets

Note: there are 3D datasets elsewhere as well, e.g. in Objects, Scenes, and Actions.

See also: List of RGBD datasets.

General Videos

Hand, Hand Grasp, Hand Action and Gesture Databases

Image, Video and Shape Database Retrieval

Object Databases

People (static and dynamic), human body pose

People Detection and Tracking Databases

Remote Sensing

Robotics

Segmentation (General)

Simultaneous Localization and Mapping

Surveillance and Tracking

Textures

Urban Datasets

Vision and Natural Language

Other Collections

Miscellaneous

Acknowledgements: Many thanks to all of the contributors for their suggestions of databases. Can Pu and Hanz Cuevas Velasquez were very helpful with the updating of this web page.

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There have been accesses since July 2019.

© 2019 Robert Fisher