🛣️ Pavement Cell Segmentation

Upload an image of pavement to detect and segment pavement cells using a deep learning model.

How to use:

1. Upload a pavement image
2. Adjust the processing parameters if needed
3. Click "Process Image"
4. View the results and download the segmentation mask

📋 Example Usage

Parameter Guidelines:

• Tile Size: Fixed at 256 for stability and good performance
• Overlap: More overlap (64-128) for better accuracy, less overlap (32-64) for faster processing
• Threshold: Higher values (0.8-0.9) for cleaner results, lower values (0.5-0.7) for more sensitive detection

Supported Formats: JPG, PNG, TIFF, BMP