🚀 Crack Detection - Detect Cracks with Deep Learning

📌 File Execution Order

Step	Command	Description
1️⃣	pip install -r requirements.txt	Install required libraries
2️⃣	python dataset_preprocessing.py	Preprocess the dataset (if needed)
3️⃣	python train.py	Train the U-Net model
4️⃣	python predict.py --image_path path/to/image.jpg	Predict cracks in an image

📌 Note: Replace path/to/image.jpg with the actual image path.

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📂 Project Structure

├── dataset/                # Training & testing dataset
├── models/                 # Trained model files (.h5)
├── config.py               # Model configuration settings
├── dataset_preprocessing.py # Dataset preprocessing script
├── train.py                # Model training script
├── predict.py              # Crack detection prediction script
├── unet_model.py           # U-Net model definition
├── requirements.txt        # Required dependencies
└── README.md               # Project documentation