mmpretrain
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预测类别不对应,但是准确率很高。
预测类别不对应,但是准确率很高 比如 我的数据集有文件类别1,2,3 预测时,类别一中的图片被预测为3,但是准确率很高。
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The prediction categories do not correspond, but the accuracy is very high for example, my dataset has file categories 1,2,3 When predicting, the picture in category 1 is predicted to be 3, but with high accuracy.
you can use this tool to check the dataset.
Please try to calculate the confusion matrix according to the comment https://github.com/open-mmlab/mmclassification/issues/598#issuecomment-992064599
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