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What problems should you be aware of when heavily using data augmentation in image classification?
①The computational cost being reduced too much by the extension.
②Augmented data is always beneficial to the model.
③That data augmentation will necessarily increase the number of labels.
④The expansion operation must always increase the resolution of the original image.
⑤There is a risk that excessive transformations will change the meaning of labels and increase noise.