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INTEL-TAU dataset
The INTEL-TAU dataset is a color constancy dataset used for testing the proposed Channel-Wise Color Constancy approach. -
Chen et al. dataset
The dataset from Chen et al. contains 1736 images taken from 8 different cameras, with the same scene imaged multiple times. -
ColorChecker Dataset
The ColorChecker dataset is widely used and reasonably large, containing 568 images from a single camera. -
DeepIlluminance: Contextual Illuminance Estimation via Deep Neural Networks
The proposed approach is compared with state-of-the-art methods on the reprocessed Color Checker dataset and the NUS 8-camera dataset. -
ColorChecker Reprocessed
The SFU Grayball 12 and the ColorChecker Reprocessed (other names: RAW dataset, 568-dataset, Gehler’s dataset) are used. -
Grayball 12
The SFU Grayball 12 and the ColorChecker Reprocessed (other names: RAW dataset, 568-dataset, Gehler’s dataset) are used. -
SFU Grayball 12 and ColorChecker Reprocessed
Two standard benchmark datasets, the SFU Grayball 12 and the ColorChecker Reprocessed (other names: RAW dataset, 568-dataset, Gehler’s dataset) are used.
