Data Augmentation

Data augmentation is a technique used to increase the size of a dataset by creating modified copies of already existing data or newly created synthetic data from existing data. It acts as a regularizer and helps reduce overfitting when training a machine learning model.

Data augmentation is a key component of any successful machine learning project, as it can help to improve the performance of your models.