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

Image and Video Processing;Computer Vision and Pattern Recognition