AI GlossaryData Augmentation

[Data Science]

Data Augmentation.

Artificially increasing training data by creating modified versions of existing data.

In-depth explanation

01

Data augmentation applies transformations to training data to create new examples, improving model robustness and reducing overfitting. For images: rotation, flipping, cropping, color adjustment. For text: synonym replacement, back-translation, paraphrasing. For audio: speed change, pitch shift, noise addition. Augmentation is especially valuable with limited data.

Examples

02
EX. 01

Image rotation and flipping

EX. 02

Text paraphrasing

EX. 03

Audio noise addition

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