Flood Detection with YOLO V8 Segmentation - One-Class Image Segmentation

Learn how to implement flood detection using Yolo V8 segmentation in this comprehensive video tutorial. Discover the process of preparing a flood image dataset, constructing and training a Yolo V8 model, and applying it to new images for generating segmentation masks that highlight flooded areas. Follow along as the instructor guides you through each step, from data collection and preprocessing to model architecture, training, and evaluation, providing a complete overview of single-class image segmentation with Yolo V8.

Introduction
Installation
Discovery and Data preparation
Train the model
Test the model