Automatic Acne Classification using VISIA

Acne is an incredibly common skin condition caused by oil from clog hair follicles and dead skin. It is usually found in adolescence to young adulthood and may affects people of all ages. The diagnosis of acne usually requires manual examination by a well-trained dermatologist, which can take a lot of effort. Therefore, it is necessary to design an automatic classification algorithm for acne lesion. However, due to the lack of proper imaging method, acne-specific facial image analysis is still a difficult task. To address this issue we propose a novel approach using high-definite VISIA image. By incorporating better image and better models, an overall accuracy above 80% is achieved on a large-scale dataset consists of more than one thousand people. The results imply that automatic acne classification is a promising direction.