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Learn how to train YOLOv5 on a custom dataset in this comprehensive Python tutorial. Install YOLOv5, download and explore a custom dataset, train an object detection model, and test the results on new images. Gain hands-on experience with PyTorch-native YOLO implementation, emphasizing ease of use and quick training and inference. Follow along with code examples, discover data and classes, and apply your newly acquired skills to real-world computer vision projects.
Syllabus
Introduction
Installation
Download the dataset / Data discovery
Train
Test the model
Taught by
Eran Feit