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What is Data Augmentation

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Answer

Data augmentation is a technique for creating additional training examples by making small modifications to existing data, commonly used with images, text, or audio.
Real-world example A team training an image model uses data augmentation to flip and rotate photos, effectively increasing the size of their training dataset.

Common follow-ups: What is AI Data Preparation & Feature Engineering, How is Data Augmentation evaluated in practice, What tools are commonly used for Data Augmentation

AI Data Preparation & Feature Engineering topics: Data Cleaning for AI Models Handling Missing Data Feature Scaling & Normalization
All 7 Data Augmentation questions