- Object Segmentation and Classification
CMU Face Datasets
Youtube Face dataset
PubFig: Public Figures Face Database
FGnet: Face and Gesture Recognition datasets
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]
Pedestrian dataset from MIT
The Daimler Pedestrian Detection Benchmark: several datasets for pedestrian detection (fully visible or partially occluded), using both mono and stereo vision, captured from a vehicle in urban traffic.
Caltech image collections: object detection, segmentation and classification
INRIA Datasets: Cars, people, horses, human actions, etc.
LabelMe Dataset: Over 150,000 images with objects annotated and labelled.
PASCAL Datasets: Provides standardised image data sets for object class recognition.
Car Dataset: Side views of cars for object detection
- Automated Surveillance
VISOR: Video Surveillance Online Repositiory: Lots of videos and ground truth.
i-LIDS datasets: UK Government benchmark datasets for automated surveillance.
Advanced Video and Signal based Surveillance: a variety datasets for tracking and detection.
CAVIAR surveillance Dataset
Violent Scenes Dataset
3dPES: 3D pedestrian tracking, a new surveillance dataset, designed mainly for people re-identification in multi camera systems with non-overlapped field of views.
- Multi-camera datasets
Multi-sensor dataset of salsa dancers: includes multiple camera views, audio streams, inertial sensors (accelerometer + gyroscope + magnometer) and depth maps.
Multi-model, multi-camera meeting room dataset
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.
Multi-camera person tracking and pose-estimation
- Background Modeling, Foreground Detection, Change Detection
WallFlower dataset: For evaluating background modelling algorithms. Ground-truth foreground provided.
Foreground/Background segmentation and Stereo dataset: from Microsoft Cambridge.
Shadow detection datasets
Stuttgart Artificial Background Subtraction Dataset
Aerial Image Change Detection
Datasets from ETH Zurich: Computer Vision Laboratory
Includes several datasets, for example:
- Kinect Head Pose Database
- Walking Pedestrians dataset
- Pedestrian Crossing Sequences
- Dynamic 3D Scene Analysis from a Moving Vehicle