NCA-GENM - Data Analysis and Visualization - Section 5.1

Enhance datasets through data augmentation.

Describe data augmentation techniques - such as flipping, cropping, colour jitter, and synthetic generation - that artificially expand training datasets. Recognise when augmentation reduces overfitting by increasing effective dataset diversity without collecting new labelled samples.

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