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Paper link: arxiv.org/abs/2402.13616
Official Github: github.com/WongKinYiu/yolov9?...
Learn how to train YOLOv9 on custom dataset:
KZbin video: • YOLOv9 on custom datas...
Github: github.com/AarohiSingla/YOLOv9
For queries: You can comment in comment section or you can email me at aarohisingla1987@gmail.com
In the pursuit of achieving superior real-time object detection, YOLOv9 distinguishes itself through its pioneering strategy in addressing the inherent information loss hurdles within deep neural networks. Through the integration of PGI and the adaptable GELAN architecture, YOLOv9 not only amplifies the model's learning capabilities but also guarantees the preservation of vital data during the detection procedure. This results in outstanding accuracy and performance, marking a significant advancement in the field.
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