Data augmentation enhances machine learning model robustness, particularly in computer vision. Keras' `ImageDataGenerator` allows real-time transformations like rotation, zoom, and brightness adjustments, improving generalization and reducing overfitting. Efficient data pipelines using Keras and TensorFlow optimize training performance while applying augmentations on-the-fly.