Python Weeds Detection Using YOLOR - OpenCV | 2021
Offered By: Augmented Startups via YouTube
Course Description
Overview
Learn how to build a real-time weed detection model using YOLOR and OpenCV in Python. Discover techniques for detecting weeds, extracting their coordinates, and implementing the model in a computer vision application. Explore dataset preparation, model training, and practical implementation steps for creating an effective weed detection system.
Syllabus
Intro
Altium
Training
Testing
Coordinates
Printing coordinates
Creating a definition
Fixing a typo
Taught by
Augmented Startups
Related Courses
Artificial Intelligence for RoboticsStanford University via Udacity Intro to Computer Science
University of Virginia via Udacity Design of Computer Programs
Stanford University via Udacity Web Development
Udacity Programming Languages
University of Virginia via Udacity