INTEL-TAU: A Color Constancy Dataset

In this paper, we describe a new large dataset for illumination estimation. This dataset, called INTEL-TAU, contains 7022 images in total, which makes it the largest available high-resolution estimation research. The variety of scenes captured using three different camera models, namely Canon 5DSR, Nikon D810, and Sony IMX135, appropriate evaluating scene invariance techniques. Privacy masking is done sensitive information, e.g., faces. Thus, coherent with General Data Protection Regulation (GDPR). Furthermore, effect color shading mobile can be evaluated INTEL-TAU as both corrected uncorrected versions raw data are provided. paper benchmarks several constancy approaches on proposed dataset.