With 65 years of skincare experience, Olay developed a deep learning-based tool that can act as your personalized beauty skin care advisor.
“It’s become a real challenge to shop for skin care,” said Frauke Neuser, principal scientist at Olay. “You go into a store, and there are 50 yards of facial care products.” Olay, the skin care brand of household products giant Procter & Gamble, said a third of women report being unable to find what they seek in the facial care aisle.
From a selfie photo and a few questions, the Olay Skin Advisor provides an objective and personalized skin care evaluation and then recommends related products.
Using CUDA, TITAN X GPUs and cuDNN with the Torch framework, the company’s scientists trained their model on 50,000 selfies, gathered from P&G employees and others, and used that to develop software that could accurately estimate skin age.
The trained software evaluates a user’s skin for signs of aging such as fine lines, wrinkles, dark spots and compares it to others’ skin to arrive at a skin age estimate, Neuser said. “Deep learning technologies are the future, and it’s helping us get the right products to the right women to ensure they get more from their skin care.”