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I have added some additional datasets, but I just realized that there may be some images that should be in the same id folder were put in two different id folders. So I wonder can the model learn the interclass features, which means that will the model still perform good from the training images that the same person divided to two different id folders?
btw I used Resnet50.
The text was updated successfully, but these errors were encountered:
I have added some additional datasets, but I just realized that there may be some images that should be in the same id folder were put in two different id folders. So I wonder can the model learn the interclass features, which means that will the model still perform good from the training images that the same person divided to two different id folders?
btw I used Resnet50.
The text was updated successfully, but these errors were encountered: