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1 s2.0 S2405844023083846 Main by pranjaliparab0405 is a document available to read on EtoBox.

This study presents a deep learning model for classifying human skin types using Convolutional Neural Networks (CNN) and image processing techniques. The model was trained on a dataset of skin images, achieving an accuracy of 94.57% after hyperparameter tuning, with the EfficentNet-V2 architecture performing the best. The research aims to provide a convenient alternative for skin type assessment, reducing the burden on dermatologists and enhancing consumer awareness in the cosmetics industry.

Author

pranjaliparab0405

Language

EN