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Cvonline: Image Databases
Introducing Security Analysis for Computer Vision (by Zendel, Murschitz, Humenberger, and Herzner) introduces a methodology to ensure that your dataset has enough variety so that the algorithm results across data are representative of results that would be expected in a real-world setting. Index by subjectOther useful sites are:
Academic Torrents - computer vision - a collection of over 30 large datasets available as BitTorrent Machine Learning Datasets - see CV tab YACVID - a tagged index of some computer vision datasets
Stock databases
See also: Action Recognition dataset summary with rankings (Gall, Kuehne, Bhattarai). Agriculture
Recognition of attributes
Autonomous driving
Camera Calibration
Catadioptric Camera Calibration Footage (Yalin Bastanlar) [Before 12/28/19] GoPro-Gyro Dataset - This dataset consists of a number of rolling shutter wide-angle video footage with the measurements (Hannes, etc.) Chum) [Before 12/28/19]
Event camera data
Face and eye/iris databases
Fingerprints
General pictures
General RGBD, 3D point cloud and depth datasets
Note: there are also 3D datasets elsewhere, e.g. General Videos
Hand, Hand Grasp, Hand Action and Gesture Databases
Image, video and shape database recovery
Object databases
People (static and dynamic), human body pose
People detection and tracking databases
remote sensing
Robotics
Segmentation (General)
Simultaneous localization and mapping
Monitoring and follow-up
Textures
Urban datasets
Vision and natural language
Other Collections
Various
Acknowledgements: Many thanks to all contributors for their database suggestions.
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- CVonline: Image Databases