Datasets
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. |
 |
| SARC3D |
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 |
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. |
 |