yolov8 coco2017

根据引用和引用的内容，yolov8仅支持YOLO格式的标签，而coco2017数据集的标签是COCO格式的。因此，需要将COCO格式的标签转换为YOLO格式。引用中提到，在训练和评估yolov8模型时，需要按照特定的规则组织数据，确保标签的正确性和规范性。具体的转换代码可以参考相关资源，以保证数据格式的正确性。<span class="em">1</span><span class="em">2</span><span class="em">3</span>
#### 引用[.reference_title]
- *1* *3* [【v8初体验】利用yolov8训练COCO数据集或自定义数据集](https://blog.csdn.net/qq_44992785/article/details/129724862)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v93^chatsearchT3_2"}}] [.reference_item style="max-width: 50%"]
- *2* [适用于YoloV5训练和测试的coco数据集标签文件（train2017.txt和val2017.txt）](https://download.csdn.net/download/qq_42012888/22922136)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v93^chatsearchT3_2"}}] [.reference_item style="max-width: 50%"]
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