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[11075225]

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在eval模型时如何计算并显示mAP数值

[Bobholamovic]

请问是什么格式的数据集呀？

[11075225]

自己做的Coco数据集格式

----------回复的邮件信息---------- Lin @.***> 于2024年8月7日(周三) 中午11:21写道:

请问是什么格式的数据集呀？

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[11075225]

自己做的coco数据集格式

[Bobholamovic]

coco数据集暂不支持计算map，目前voc格式是支持的（在配置文件中将metric调整为VOC）～

[11075225]

只需要改这个参数就能计算coco数据集格式的map值吗，还是只能计算voc格式的

[Bobholamovic]

目前只能计算VOC格式的

[Bobholamovic]

你好，不好意思，我之前的回答有误，PaddleDetection的验证阶段日志是类似这样的：

 Average Precision  (AP) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.414
 Average Precision  (AP) @[ IoU=0.50      | area=   all | maxDets=100 ] = 0.588
 Average Precision  (AP) @[ IoU=0.75      | area=   all | maxDets=100 ] = 0.448
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.241
 Average Precision  (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.439
 Average Precision  (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.581
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=  1 ] = 0.340
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets= 10 ] = 0.563
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=   all | maxDets=100 ] = 0.620
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.435
 Average Recall     (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.666
 Average Recall     (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.794
[07/11 02:34:03] ppdet.engine INFO: Total sample number: 4952, averge FPS: 12.174668660128468

其中是给出了mAP数值的哈～COCO数据集也是支持的。

[11075225]

那mAP数值要自己计算吗，还是上面第一行就是mAP数值

[Bobholamovic]

我确认了一下，这里给出的是mAP数值（各种IoU下），PaddleDetection在这里采用的就是COCO API给出的标准格式的结果～

[TingquanGao]

The issue has no response for a long time and will be closed. You can reopen or new another issue if are still confused.

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