skin_types_image_detection Open Source Facial Image Classification Model - Free Detection of Dry, Normal, and Oily Skin Types

Skin Types Image Detection

Developed by dima806

A facial image classification model using Vision Transformer (ViT) architecture for detecting dry, normal, and oily skin types

Image Classification

Transformers

Open Source License:Apache-2.0 #Facial Skin Classification #Vision Transformer #Skin Type Recognition

Downloads 776

Release Time : 2/24/2024

Model Overview

This model is based on Google's ViT architecture, specifically designed to identify skin types (dry, normal, oily) from facial images, suitable for automated analysis in the beauty and skincare field

Model Features

High-precision Skin Classification

Capable of accurately distinguishing between dry, normal, and oily skin types

ViT-based Architecture

Utilizes Vision Transformer architecture with excellent image feature extraction capabilities

Beauty and Skincare Applications

Particularly suitable for automated skin analysis needs in the beauty and skincare field

Model Capabilities

Facial Image Analysis

Skin Type Classification

Visual Feature Extraction

Use Cases

Beauty and Skincare

Automated Skin Analysis

Automatically analyzes skin types through user selfie photos

Accuracy 65.34%, F1 score 65.32%

Personalized Skincare Recommendations

Recommends suitable skincare products based on skin type analysis results

Property	Details
Model Type	Skin type detection model based on facial images
Base Model	google/vit-base-patch16-224-in21k
Metrics	accuracy, f1

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Skin Types Image Detection

Model Overview

Model Features

Model Capabilities

Use Cases

🚀 Skin Type Detection Model

🚀 Quick Start

💻 Usage Examples

Basic Usage

📄 License

📚 Documentation

Model Information