What is 'data augmentation'?

Quiz Options

• Removing data from a dataset
• Increasing the size and diversity of a training dataset by creating modified copies of existing data
• Combining datasets from different sources
• Labeling data for supervised learning

Explanation & Context

Data augmentation is a technique used to artificially expand the size of a training dataset by applying various transformations to existing data, helping to improve model generalization.