Glossary · Math & training
Data Augmentation
Creating modified examples, such as transformed images, perturbed audio, or paraphrased text, to increase training diversity without collecting entirely new source data. It can reduce overfitting when the transformation preserves the task signal.
Common confusion
An augmentation must preserve the target label or behavior you want the model to learn.
Related terms
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