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[ECCV 2018] CCPD: a diverse and well-annotated dataset for license plate detection and recognition

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部分有两张车牌的图片标注有误,例如`0088-14_3-519&221_633&286-620&286_519&260_532&221_633&247-0_0_25_26_5_28_29-135-17.jpg` ![error](https://user-images.githubusercontent.com/55364049/114646018-0e995e80-9d0d-11eb-8cbf-8760119aa915.png)

我可提供蓝色绿色黄色车牌数据以及相关代码,准确率可达95%+。q:1041357701

**The label qualities of the vertices are so poor.**

我发现现有的几个标注工具没法直接标注你们的label格式,请问下是用的什么工具呢?还是每个小段单独识别然后将结果合并?

Excuse me. I have used the CCPD data in my project, but I find the four vertices locations is not accurate. if so, please tell me.

建议测试数据集可以尽可能的少,train.txt里面有19万张, test.txt里面就有14万张;训练一次花费在测试上面的时间就需要好久,如果又不实时测试,也不能在训练集上跟踪测试结果

Easily known that the last character can be '警', ‘学’, or alphabets+digits from GA 36-2018. But the label(image name) only marked the index of the province and alphabet+digits. How can...