This new technology is based on an Artificial Intelligence-powered algorithm developed by ModiFace and nourished by L’Oréal’s skin aging expertise and photo database. Using deep learning, the algorithm has been trained on 6000 clinical images from L’Oréal’s R&I evaluation and knowledge studies conducted with Skin Aging Atlases, and then a new model has been created on over 4500 smartphones selfies for 3 groups of women (Asian, Caucasian and Afro-American) in 4 different lighting conditions. The results, which were developed with dermatologists, achieved a high level of skin assessment precision. Accurate results were obtained with different facial expressions and photo taking conditions (light, phone position) similar to those used by consumers.
L’Oréal’s Skin Aging Atlases are the first exhaustive atlases of facial aging, addressing visual aging signs. Studies for Skin Aging Atlases were carried out in France, China, Japan, India and United States on a total of 4000 women and men aged from 20 to 80 years. Skin Atlases allow to evaluate or predict the general aging of the face and are used today for clinical evaluations of cosmetic or dermatological treatments.