Links to free data sets for computer vision applications. If you would like to submit a link, please contact us.


The Comprehensive Cars (CompCars) dataset contains data from two scenarios, including images from web-nature and surveillance-nature.


VT-KFER dataset is a RGBD+time facial expression recognition dataset collected using the Kinect 1.0 sensor in both scripted (acted) and unscripted (spontaneous) scenarios.

3D Microscopy Dataset

The Scanning Electron Microscope (SEM) as 2D imaging instrument has been widely used in biology and material sciences to determine the surface attributes of microscopic specimens.

CVPPP2014 Leaf Segmentation Challenge Dataset

To advance the state of the art in leaf segmentation and to demonstrate the difficulty of segmenting all leaves in an image of plants, a challenge called 

ESPL Synthetic Image Database

This work aims at analyzing the statistical properties of computer generated images by application of the Natural Scene Statistics (NSS) models.

Daimler Urban Segmentation

The Daimler Urban Segmentation Dataset consists of video sequences recorded in urban traffic. The dataset consists of 5000 rectified stereo image pairs with a resolution of 1024x440.

Benchmark for Multi-platform Photogrammetry

The aim of the benchmark is to assess the accuracy and reliability of current methods for calibration and orientation of images acquired by different platforms as well as their integration for imag

MPII Human Pose dataset

MPII Human Pose dataset is a state of the art benchmark for evaluation of articulated human pose estimation.

ALL-IDB: Acute Lymphoblastic Leukemia Image Database

ALL-IDB is a dataset of microscopic images of blood samples, specifically designed for the evaluation and the comparison of algorithms for segmentation and image classification.

OUI-Adience Face collection

This dataset intends to facilitate the study of age and gender recognition.

MTFL: Multi-Task Facial Landmark

This dataset contains 12,995 face images which are annotated with (1) five facial landmarks, (2) attributes of gender, smiling, wearing glasses, and head pose.


Phos is a dataset for evaluating illumination invariance: 15 scenes, 14 types of illumination (with shadows) + Ground Truth.