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| [ ** YOLOv9-C** ] ( https://github.com/WongKinYiu/yolov9/releases/download/v0.1/yolov9-c.pt ) | 640 | ** 53.0%** | ** 70.2%** | ** 57.8%** | ** 25.5M** | ** 102.8G** |
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| [ ** YOLOv9-E** ] ( https://github.com/WongKinYiu/yolov9/releases/download/v0.1/yolov9-e.pt ) | 640 | ** 55.6%** | ** 72.8%** | ** 60.6%** | ** 58.1M** | ** 192.5G** |
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+ <!-- small and medium models will be released after the paper be accepted and published. -->
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## Installation
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## Teaser
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- We release parts of code of [ YOLOR-Based Multi-Task Learning] ( https://arxiv.org/abs/2309.16921 ) in the repository.
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+ Parts of code of [ YOLOR-Based Multi-Task Learning] ( https://arxiv.org/abs/2309.16921 ) are released in the repository.
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## Acknowledgements
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