Michael-OvO/Skin-Burn-Detection-Classification
Highly Accurate and Efficient Burn detection and Classification trained with Deep Learning Model
# Technical Summary Implements YOLOv7 object detection with architectural modifications optimized for multi-class burn severity classification, achieving 88% precision and 72% mAP₀.₅ on burn depth categorization tasks. Provides multiple deployment paths including a Gradio web interface on Hugging Face Spaces, local Flask application, and Jupyter notebooks for Google Colab and Kaggle environments. Supports model export to CoreML, ONNX, and TensorRT for cross-platform inference on images and video streams.
309 stars. No commits in the last 6 months.
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309
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Language
Jupyter Notebook
License
MIT
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Last pushed
Jun 13, 2025
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