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.
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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