🧴 Skin Disease Dataset 🧴

A comprehensive dataset for automated skin disease classification and diagnostics.

📝 Dataset Summary

This dataset is a diverse collection of images representing various skin diseases, meticulously categorized into 22 distinct classes. It provides an invaluable resource for image classification tasks, particularly in the fields of dermatology and medical diagnostics.

🌐 Comprehensive Collection

The dataset comprises a diverse collection of images representing various skin diseases.

📂 Categorization

The images are meticulously categorized into 22 distinct classes, each corresponding to a specific skin condition:

• Acne
• Actinic Keratosis
• Benign Tumors
• Bullous
• Candidiasis
• Drug Eruption
• Eczema
• Infestations/Bites
• Lichen
• Lupus
• Moles
• Psoriasis
• Rosacea
• Seborrheic Keratoses
• Skin Cancer
• Sun/Sunlight Damage
• Tinea
• Unknown/Normal
• Vascular Tumors
• Vasculitis
• Vitiligo
• Warts

🎯 Intended Use

This dataset is designed for the following purposes:

• Research and Development: Supports researchers and practitioners in developing and evaluating machine learning algorithms for skin disease diagnosis and classification.
• Medical Advancements: Enables advancements in the accurate and efficient identification of skin diseases, contributing to improved patient outcomes.
• Educational Resource: Serves as a training tool for healthcare professionals and students in recognizing and diagnosing skin conditions through image analysis.

📁 Directory Structure

The dataset is organized into the following directory structure:

SkinDisease/
│
├── Train/
│   ├── Acne/
│   ├── Actinic_Keratosis/
│   ├── ...
│   └── Warts/
│
└── Test/
    ├── Acne/
    ├── Actinic_Keratosis/
    ├── ...
    └── Warts/