Mini toolsDefinition
Technique of artificially expanding a dataset by creating modified versions of existing data samples
Detailed Explanation
A systematic process of creating new training samples by applying various transformations to existing data while preserving the essential meaning or labels. Common techniques include rotation, scaling, flipping, adding noise, or synthetic sample generation using advanced methods like GANs
Use Cases
Image classification training with rotated/flipped photos, Speech recognition with added background noise, Text classification with synonymous phrases
