Links to free data sets for computer vision applications. If you would like to submit a link, please contact us.
|The Cell: An Image Library||
The Cell: An Image Library™ is a freely accessible, easy-to-search, public repository of reviewed and annotated images, videos, and animations of cells from a variety
|The Stanford 3D Scanning Repository||
In recent years, the number of range scanners and surface reconstruction algorithms has been growing rapidly.
Wide area video surveillance always requires to extract and integrate information coming from different cameras and views.
|3DPES - PEople Surveillance Dataset||
The growing interest on People Re-identification for surveillance forensics multimedia search action analysis calls for public and challenging datasets to train and test proposed solutions.
UB KinFace database is used to develop, test, and evaluate kinship verification and recognition algorithms. It comprises 600 images of 400 people which can be separated into 200 groups.
|Kylberg Texture Dataset||
The texture set is suitable for evaluating and comparing texture measures, their sensitivity to noise and geometric transforms. It is comprised of 28 classes with 160 unique samples per class.
|Facial Expressions in the Wild (SFEW / AFEW)||
Acted Facial Expressions in the Wild (AFEW) is a dynamic temporal facial expressions data corpus consisting of close to real world environment ex- tracted from movies.
|Utrecht Multi-Person Motion (UMPM) benchmark||
The researchers at the Utrecht University have created the Utrecht Multi-Person Motion (UMPM) benchmark to evaluate human motion capturing algorithms for multiple subjects in a similar way as Human
|Ground truth of vascular bifurcations in retinal fundus images of the DRIVE data set||
This dataset contains 40 images (565x584 pixels) with marked ground truth in PNG format and 40 ascii files that include the locations (row,col) of vessel bifurcations.
|DRIVE: Digital Retinal Images for Vessel Extraction||
The DRIVE database has been established to enable comparative studies on segmentation of blood vessels in retinal images.