Computer Vision Datasets

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WallFlower dataset: For evaluating background modelling algorithms. Ground-truth foreground provided.
Foreground/Background segmentation and Stereo dataset: from Microsoft Cambridge.
VISOR: Video Surveillance Online Repositiory: Lots of videos and ground truth.
3D Photography Dataset
Multi-model, multi-camera meeting room dataset
Advanced Video and Signal based Surveillance: a variety datasets for tracking and detection.
Caltech image collections: object detection, segmentation and classification
INRIA Datasets: Cars, people, horses, human actions, etc.
CAVIAR surveillance Dataset
Videos for Head Tracking
Pedestrian dataset from MIT
Shadow detection datasets
Flash and non-Flash dataset
Experiments on skin region detection and tracking: it includes a ground-truthed dataset
MIT Face Dataset
MIT Car Datasets
MIT Street Scenes: CBCL StreetScenes Challenge Framework is a collection of images, annotations, software and performance measures for object detection [cars, pedestrians, bicycles, buildings, trees, skies, roads, sidewalks, and stores]
LabelMe Dataset: Over 150,000 images with objects annotated and labelled.
MuHAVi: Multicamera Human Action Video DataA large body of human action video data using 8 cameras. Includes manually annotated silhouette data.
INRIA Xmas Motion Acquisition Sequences (IXMAS): Multiview dataset for view-invariant human action recognition.
i-LIDS datasets: UK Government benchmark datasets for automated surveillance.
The Daimler Pedestrian Detection Benchmark: contains 15,560 pedestrian and non-pedestrian samples (image cut-outs) and 6744 additional full images not containing pedestrians for bootstrapping. The test set contains more than 21,790 images with 56,492 pedestrian labels (fully visible or partially occluded), captured from a vehicle in urban traffic.
Stereo Pedestrian Detection Evaluation Dataset: a dataset for evaluating pedestrian detection using stereo camera images and video.
Colour video and Thermal infrared datasets: Dataset of videos in colour and thermal infrared. Videos are aligned temporally and spatially. Ground-truth for object tracking is provided.



Dataset lists
List of Databases: Includes multiple face datasets, texture datasets, etc.
UIUC Datasets: Includes... Fifteen Scene Categories, 3D Object Recognition Stereo Dataset, 3D Photography Dataset, Visual Hull Datasets, Birds, Butterflies, Object Recognition Database, Texture Database and Video Sequences.
OTCBVS Datasets: Several datasets that include non-visual data, such as thermal infrared and NIR.
List of "emotional" databases:





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