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Which preprocessing is most effective for improving model generalization when the resolutions of the training data vary?
①To forcibly resize all images to a small fixed size.
②Only perform contrast enhancement.
③Converting to grayscale to remove color information.
④Use the input as-is and perform only normalization.
⑤Perform data augmentation including random scaling and resizing.