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Data Augmentation

Techniques for artificially expanding a training dataset by creating modified versions of existing data. Augmentation improves model robustness and generalization by introducing variation without collecting new data.

In practice

In image classification, data augmentation includes rotating, flipping, cropping, and adjusting brightness of training images.