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测试时检测的目标框比实际目标大出很多 #609

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Jugerr opened this issue Jul 14, 2021 · 0 comments

Jugerr commented Jul 14, 2021

用一批数据训练模型后，在测试另一批环境有点不同的数据时，虽然类别检测出来了，但是检测框超出实际目标很多，大的都几乎占了图片的一半，分类没什么问题，框位置的回归有很大问题。请问是过拟合还是什么原因？

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