Flood Detection with YOLO V8 Segmentation - One-Class Image Segmentation
Offered By: Eran Feit via YouTube
Course Description
Overview
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.
Syllabus
Introduction
Installation
Discovery and Data preparation
Train the model
Test the model
Taught by
Eran Feit
Related Courses
Introduction to Artificial IntelligenceStanford University via Udacity Natural Language Processing
Columbia University via Coursera Probabilistic Graphical Models 1: Representation
Stanford University via Coursera Computer Vision: The Fundamentals
University of California, Berkeley via Coursera Learning from Data (Introductory Machine Learning course)
California Institute of Technology via Independent