Proposal for deep learning of skin translucency subjective assessment by beauty advisors

The subject's face was photographed, and their skin translucency was assessed using a beauty advisor. Small square regions were cropped from the captured images, and these cropped images along with their translucency values were used to train a regression model. The translucency of the skin of a new subject can be evaluated using a trained model. This computer-based assessment can complement the evaluation by a skilled beauty advisor and can help clarify skin translucency and train new beauty advisors.