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Lane Detection with U-Net on TuSimple Dataset
This repository contains a trained U-Net model for lane detection using the TuSimple dataset.
Model Overview
- Architecture: U-Net
- Input shape: 224x224 RGB
- Loss Function: Dice Loss
- Metrics: Accuracy, Dice Coefficient, Precision, Recall
Contents
best_model.keras: Trained model weightstraining_history.csv: Loss and accuracy logstraining_history.svg: Accuracy and loss curvesdriving_car_lanes.mp4: Inference demo on driving footageprediction_plots/: Sample predictions from the test set
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