yolov8 coco

YOLOv8是一种目标检测算法，而COCO是一个常用的目标检测数据集。YOLOv8预训练权重文件集合包括YOLOv8n、YOLOv8s、YOLOv8m、YOLOv8l和YOLOv8x。这些预训练权重是在COCO数据集上训练得到的，用于检测、分割和姿态估计任务。所以，yolov8 coco指的是使用COCO数据集进行训练的YOLOv8模型。由于YOLOv8仅支持YOLO格式的标签，而COCO的默认标签为JSON格式，所以在使用YOLOv8模型进行目标检测时，需要先将COCO格式的标签转换为YOLO格式的标签。<span class="em">1</span><span class="em">2</span><span class="em">3</span>
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- *1* *2* [【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%"]
- *3* [YOLOv8预训练权重文件集合(YOLOv8n,YOLOv8s,YOLOv8m,YOLOv8l,YOLOv8x)](https://download.csdn.net/download/crasher123/87941630)[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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