Computer Vision Datasets
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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