7 datasets found

The INTEL-TAU dataset is a color constancy dataset used for testing the proposed Channel-Wise Color Constancy approach.

The dataset from Chen et al. contains 1736 images taken from 8 different cameras, with the same scene imaged multiple times.

The ColorChecker dataset is widely used and reasonably large, containing 568 images from a single camera.

The proposed approach is compared with state-of-the-art methods on the reprocessed Color Checker dataset and the NUS 8-camera dataset.

The SFU Grayball 12 and the ColorChecker Reprocessed (other names: RAW dataset, 568-dataset, Gehler’s dataset) are used.

The SFU Grayball 12 and the ColorChecker Reprocessed (other names: RAW dataset, 568-dataset, Gehler’s dataset) are used.

Two standard benchmark datasets, the SFU Grayball 12 and the ColorChecker Reprocessed (other names: RAW dataset, 568-dataset, Gehler’s dataset) are used.