AI GlossaryData AugmentationENTRY — Data Science
[Data Science]
Data Augmentation.
Artificially increasing training data by creating modified versions of existing data.
In-depth explanation
01Data 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
02EX. 01
Image rotation and flipping
EX. 02
Text paraphrasing
EX. 03
Audio noise addition
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