International Journal of All Research Education & Scientific Methods

An ISO Certified Peer-Reviewed Journal

ISSN: 2455-6211

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Acne classification using AI & Ml

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Acne classification using AI & Ml

Acne classification using AI & Ml

Author Name : Pranav, Dr. Amit Gadekar, Jayesh, Pooja Barkale

ABSTRACT Acne is the eighth commonest disorder in the world. Assessment of disease severity is usually done by dermatologists throughout a clinical atmosphere. we've got a bent to figure with Nestlé defend (Skin Health, Innovation, Education, and Longevity Development, NSH) to develop a deep learning model that can assess disease severity from selfie footage as accurately as dermatologists. The model was deployed as a mobile application, providing patients with simple due to assess and track the progress of their disease treatment. NSH nonheritable four,700 selfie footage for this study and recruited eleven internal dermatologists to label them into five categories: From one (Clear) to 5 (Severe). whereas convolutional neural networks (CNN) became the leading approach for computer vision, they sometimes want easy larger employment sets. Usually this can be often exacerbated by the abstraction sensitivity of CNN models since disease severity is judged on localized skin conditions.