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Skin Disorders Classifier
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Skin Disorders Classifier

Developed by sagarvk24
An image classification model built with PyTorch and HuggingPics for identifying multiple common skin diseases.
Image Classification
Safetensors
#Skin Disease Identification#Medical Image Classification#69% Accuracy
Downloads 123
Release Time : 2/5/2025

Model Overview

This model can classify images of various skin diseases, including acne, basal cell carcinoma, eczema, melanoma, etc., with an accuracy of 69.23%.

Model Features

Multi-disease Classification
Capable of recognizing and classifying 10 different skin diseases.
Ease of Use
Automatically generated via HuggingPics tool, making it easy for users to create their own image classifiers.

Model Capabilities

Skin Disease Image Classification
Medical Image Analysis

Use Cases

Medical Auxiliary Diagnosis
Preliminary Skin Disease Screening
Assists doctors or patients in preliminary identification and classification of skin diseases.
Accuracy: 69.23%
Medical Education
Skin Disease Learning Tool
Serves as an auxiliary tool for medical students to learn skin disease classification.
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