Michael-OvO/Skin-Burn-Detection-Classification
Highly Accurate and Efficient Burn detection and Classification trained with Deep Learning Model
This project offers an automated tool for quickly identifying and classifying skin burns from images. You provide a photo of a burn, and it analyzes the image to locate the burn and determine its depth (e.g., first, second, or third degree). This is most useful for medical professionals, first responders, or individuals in areas with limited medical access who need a rapid assessment of burn severity.
309 stars. No commits in the last 6 months.
Use this if you need a quick, preliminary, and cost-effective way to assess the location and depth of skin burns from an image, especially in situations where immediate expert consultation isn't available.
Not ideal if you require definitive medical diagnosis, as this tool provides an automated assessment and should not replace professional medical judgment.
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309
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Jupyter Notebook
License
MIT
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Last pushed
Jun 13, 2025
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