Definition
A technique for artificially expanding the size and diversity of a training dataset by generating modified, synthetic variations of existing data samples (e.g., rotating images).
In short: A technique for artificially expanding the size and diversity of a training dataset by generating modified, synthetic variations of existing data samples (e.