README.md

metadata

title: Skin Image Classification
emoji: 💻
colorFrom: indigo
colorTo: purple
sdk: gradio
sdk_version: 5.38.1
app_file: app.py
pinned: false

🩺 Skin Lesion Classification Demo (HAM10000)

This demo uses a Resnet101 to classify skin lesion images into one of seven skin disease categories from the HAM10000 dataset.

🚀 How to Use

• Upload a skin lesion image.
• The model will automatically classify it into one of seven categories.
• You can download example images from the eval folder in the GitHub repository below to test it out.

👉 Source code:
https://github.com/without-paper/HAM_10000-Classification-with-CNNs-in-PyTorch

👉 Sample images for testing:
https://github.com/without-paper/HAM_10000-Classification-with-CNNs-in-PyTorch/tree/main/eval

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⚠️ Disclaimer

The results are for reference only.
This model can only classify an image into seven predefined skin disease categories, and its accuracy may be affected by various factors such as image quality, lighting, and lesion variations.
This is not a diagnostic tool and should not be used for medical decision-making.