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問題 59 / 65
Which data augmentation should be used to improve generalization performance when training on data that includes different resolutions?
①Random transformations of hue and saturation
②Adding Gaussian noise
③Application of Mixup and CutMix
④Random resizing and scale jittering (random crop and rescale)
⑤Apply only a horizontal flip.