YOLOv8 Segmentation Tutorial for Real Flood Detection

This tutorial addresses the challenge of converting binary mask datasets into YOLOv8-compatible polygonal annotations for flood detection using OpenCV contour extraction. It presents a full pipeline covering preprocessing, model training with YOLOv8-Large segmentation, and post-processing that aggregates multiple detected water body instances into a unified flood zone mask.