GitHub repository: Akila-Wasalathilaka/Slum-detection-model-using-UNET
Primary language: Python
Created: 2025-07-09T13:11:05Z
Description: UNet-based semantic segmentation model for detecting informal settlements in 120×120 satellite images. Features multiple encoders (ResNet34, EfficientNet), advanced loss functions (Focal, Tversky, BCE+Dice), and comprehensive augmentation. Achieves 0.65-0.80 IoU with class imbalance handling and morphological post-processing.