Datasets

The main goal of CAVAREV is to enable an easy and objective comparison of different dynamic reconstruction algorithms. The area of application is the 3-D and 4-D reconstruction of contrasted cardiac vessels, e.g. the coronary arteries using C-arm CT (rotational angiography). Various me...

A ground truth dataset for benchmarking the detection of image tampering artifacts. This dataset contains 96 images in various stages from original to manipulated, as well as the respective tampered parts. Also available is a software framework for a fine-grained control over combinations of var...

In this dataset we provide 32 segmentation tasks in nine images of the CAVE Multispectral Image Database. The dataset includes hand-labeled ground-truth data and seed-points for each task as well as segmentation results of several algorithms. The dataset can be found her...

This database has been established by a collaborative research group to support comparative studies on automatic segmentation algorithms on retinal fundus images. The database will be iteratively extended and the webpage will be improved. We would like to help researchers in the evaluation of segme...

Color constancy algorithms under non-uniform illumination are particularly hard to evaluate. Ground truth illumination measurements are either inaccurate or only sparsely set in the scene. We provide a dataset of four scenes, captured under combinations of 6 spectral filters. After the capturing, t...

The Digital Brain Perfusion Phantom package provides data and Matlab tools to create a realistic digital 4D brain phantom, in particular for reproducible evaluation of reconstruction algorithms using non-linear regularization for perfusion CT and perfusion C-arm CT. It is based on the Realistic Dig...

Various approaches for movement analysis have been proposed in literature. Up to date, it is not clear which solution is outperforming the others. The provision of benchmark datasets are mandatory for research groups. This could enhance and speed up the process of getting the best performing and mo...

The segmentation of the carotid bifurcation region in non contrast-enhanced MRA TOF datasets is challenging due to its susceptibility to irregular blood flow patterns. These lead to intensity deviations especially close to the bifurcation and even to signal voids. We provide here standardiz...

Obtaining quantitative ground truth for color constancy under multiple light sources is difficult. We provide two datasets of 58 and 20 images that are exposed to two illuminants. The ground truth is obtained from an algorithm that operates on multiple aligned input images. Read more & down...