---
license: mit
library_name: pytorch
pipeline_tag: image-classification
tags:
- skin-disease
- medical-imaging
- cnn
- deep-learning
- healthcare
---

# Skin Diseases Detection Model (DermaDL)

## Overview
DermaDL is a deep learning–based **skin disease detection model** trained on dermoscopic images.  
It uses a **Convolutional Neural Network (CNN)** to classify multiple skin conditions and is intended for **research, educational, and prototype applications**.

> ⚠️ **Disclaimer:** This model is NOT a medical diagnostic tool and should not be used as a substitute for professional medical advice.

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## Model Details
- **Task:** Image Classification
- **Architecture:** CNN with Transfer Learning
- **Framework:** PyTorch
- **Input Size:** 224 × 224 RGB images
- **Accuracy:** ~91% (validation set)

---

## Supported Skin Conditions
- Melanoma  
- Basal Cell Carcinoma  
- Squamous Cell Carcinoma  
- Benign Keratosis  
- Actinic Keratosis  
- Dermatofibroma  
- Vascular Lesions  
- Nevus  

*(Class labels may vary depending on dataset version)*

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## Training Information
- **Dataset:** Public dermoscopic skin lesion datasets
- **Loss Function:** Cross-Entropy Loss
- **Optimizer:** Adam
- **Evaluation Metric:** Accuracy
- **Data Augmentation:** Rotation, flipping, normalization

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## How to Use

### 1️⃣ Install Dependencies
```bash
pip install torch torchvision pillow