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.
Overview
Syllabus
Intro
Altium
Training
Testing
Coordinates
Printing coordinates
Creating a definition
Fixing a typo
Taught by
Augmented Startups
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