Introduction Data augmentation is a powerful technique used to enhance machine learning datasets by generating additional samples through various transformations. By leveraging data augmentation, we can overcome the limitations of limited training data, improve model generalization, and boost overall performance. In this article, we explore the concept of data augmentation,
