This repo uses deep learning (U-Net, SegNet, DeepLabV3Plus) to automatically detect fractures from images.

Highlights:

• Configurable models (loss, architecture, hyperparameters)
• Preprocessed data (e.g., matteo21, ovaskainen24)
• Training & inference scripts (main.py, notebooks, shell scripts)
• Model code (data handling, loss functions, architectures, training)
• Trained model outputs (weights, predictions)

Get Started:

1. Create a dev env and install dependencies
2. Refer to scripts and configs for training and inference.
3. Explore notebooks for interactive experimentation.