Create a complete YOLOv9 training pipeline with custom dataset preparation, augmentation, training, and edge deployment.
Define your detection classes and prepare labeled images. Set hardware and deployment target parameters. Run data preparation first, then training, evaluation, and export sequentially.
Initial release
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