Skin Type Classifier
This is a skin type classification model based on Vision Transformer architecture, capable of identifying three skin types (dry, normal, and oily) from facial images.
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Release Time : 3/30/2024
Model Overview
The model uses computer vision technology to analyze facial images and automatically detect skin types (dry, normal, or oily), suitable for automated analysis in the beauty and skincare field.
Model Features
Multi-class Skin Classification
Accurately distinguishes between three common skin types: dry, normal, and oily
ViT-based Architecture
Utilizes advanced Vision Transformer architecture with powerful image feature extraction capabilities
Open-source License
Released under Apache-2.0 license, allowing both commercial and research use
Model Capabilities
Facial Image Analysis
Skin Type Classification
Computer Vision Processing
Use Cases
Beauty & Skincare
Automated Skin Diagnosis
Used in beauty salons or skincare apps to automatically analyze customers' skin types
Provides skin type classification suggestions with approximately 61.6% accuracy
Personalized Skincare Recommendations
Recommends suitable skincare products based on skin type analysis results
Medical Assistance
Preliminary Skin Condition Screening
Assists doctors in preliminary assessment of skin conditions
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