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.

翻译：在本文中,我们描述一个用于照明估计的新的大型数据集。这个数据集称为INTEL-TAU, 总共包含7022个图像,使该数据集成为可用于照明估计研究的最大高分辨率数据集。使用三种不同的相机模型,即Canon 5DSR、Nikon D810和Sony IMX135拍摄到的各种场景,使数据集适合于评估不同照明估计技术的相机和场景。对敏感信息,例如脸部进行隐私掩蔽。因此,该数据集与新的一般数据保护条例(GDPR)相一致。此外,移动图像的彩色遮蔽效果可以用INTEL-TAU数据集来评估,因为原始数据的校正版本和未校正版本都得到了提供。此外,本文还以拟议数据集的若干颜色粘附方法为基准。