map map0.5

mAP是指平均精确度（mean Average Precision），它是一种用于评估目标检测算法性能的指标。mAP@\[.5:.95\]表示在不同IoU阈值（从0.5到0.95，步长0.05）上的平均mAP。\[2\]具体来说，mAP@0.5表示在IoU阈值为0.5时的平均精确度，而mAP@\[.5:.95\]表示在IoU阈值从0.5到0.95的范围内的平均精确度。\[2\]

mAP_0.5是指在IoU阈值为0.5时的平均精确度，它是目标检测算法在较宽松的IoU要求下的性能评估指标。\[3\]mAP_0.5,0.95,0.05的数值会比mAP_0.5的数值要小，因为随着IoU阈值的增加，对目标检测的要求也越高，因此平均精确度会相应下降。\[3\]
#### 引用[.reference_title]
- *1* [对于目标检测中mAP@0.5的理解](https://blog.csdn.net/luke_sanjayzzzhong/article/details/89851944)[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^v91^control,239^v3^insert_chatgpt"}} ] [.reference_item]
- *2* [mAP@0.5与mAP@0.5:0.95的含义，YOLO](https://blog.csdn.net/perfect_ch/article/details/117480528)[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^v91^control,239^v3^insert_chatgpt"}} ] [.reference_item]
- *3* [【深度学习】目标检测的性能评价指标，mAP_0.5，mAP_0.5,0.95,0.05](https://blog.csdn.net/x1131230123/article/details/127740011)[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^v91^control,239^v3^insert_chatgpt"}} ] [.reference_item]
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