省份识别精度不高

[duorouputao]

有人遇到过车牌中文识别精度不高，但是英文和数字精度都还行的情况吗

[littlePrince126]

I meet the same problem.

[duorouputao]

Well,U can change the dataset, and use another loss function.It will improve the performance of the network.

[littlePrince126]

Hi! could you tell me which loss you used in the work? Thanks a lot!

At 2021-07-30 09:15:56, "duorouputao" @.***> wrote:

Well,U can change the dataset, and use another loss function.It will improve the performance of the network.

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[lileicv]

我怀疑这个模型是CCPD数据集训练的，那个数据集中大多数车辆都是安徽的，所以“皖”特别多，导致模型容易把省份错分成“皖”。

[duorouputao]

但是其他的也不行，最容易出现错误的就是车牌的首字符中文

[lhh1005]

有人遇到过车牌中文识别精度不高，但是英文和数字精度都还行的情况吗

请问一下这个有好的解决办法嘛，我训练的loss值很低了，但是测试的时候识别效果不好，请问一下这种该咋调呀