White balance: White balance is the process of removing unrealistic color casts, so that objects which appear white in person eyes are shown white in the image and this is more relevant to the settings of digital cameras (auto white balance). Since human eyes are very good at judging what is white under different light sources, if an
white object is captured in a wrong or mismatched color temperature, the realism could be significantly degraded.
datasets: https://cvil.eecs.yorku.ca/projects/public_html/sRGB_WB_correction/dataset.html
Color constancy: Color constancy is the ability to perceive color of objects, invariant to the color of the light source and it’s quite related to the human visual system. Existing computational color constancy methods
address this problem by first estimating the color of the light source and then correcting the input images pixel
to pixel to make it as taken under a white light source.
datasets: http://colorconstancy.com/evaluation/datasets/index.html