Recognition and classification of skin condition

Deep neural network detecting and classifying skin tone evenness for the purpose of recommending appropriate cosmetics

Meet our client

INDUSTRYBeauty

CUSTOMEROne of the world’s
largest manufacturers
of beauty products

How we did it

The beauty industry offers tens of thousands of cosmetics and treatments. An individual approach to consumers’ beauty needs is key to maintaining their interest.

The challenge

Our client - one of the world’s largest manufacturers of beauty products – was looking for a tool that automates recognition and classification of the clients’ skin to measure its attributes, such as evenness or hydration.

The solution

deepsense.ai created a system that analyzes photos of skin to automate the process of suggesting cosmetics. The system recognizes and classifies the skin tone and evenness of the client’s face. The assessment is preceded by very careful data preparation including face detection, normalization and controlled adaptation through various image augmentations. A deep neural network then processes the photos to provide the skin grading. The solution produced robust outputs despite the varying photo quality and lighting conditions, making it suitable for working with studio-quality photos and hand-made selfies.

The effect

Our solution is 91% accurate*, significantly outperforming humans. Further improvements to be made to the system may include the ability to recognize other customers’ skin attributes such as hydration, shine, pores, acne scarring and wrinkles.
*measured by mean average error

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    Find us
    • deepsense.ai, Inc.
    • 2100 Geng Road, Suite 210
    • Palo Alto, CA 94303
    • United States of America
    • deepsense.ai Sp. z o.o.
    • al. Jerozolimskie 162A
    • 02-342 Warsaw
    • Poland
    • ul. Łęczycka 59
    • 85-737 Bydgoszcz
    • Poland
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