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YOLOv5-TFLite-FishDetector-Model-Training

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This project details the process of training a custom YOLOv5 object detection model on a dataset of salmonid fish. The final model is converted to the TensorFlow Lite (TFLite) format, making it lightweight and optimized for real-time inference in mobile applications.

Creat2023-05-26T06:12:13
Update2025-08-27T05:18:14
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