Python Deep Learning Cookbook

Augmenting images with computer vision techniques

CNNs and computer vision are inseparable in deep learning. Before we dig deeper into the applications of deep learning for computer vision, we will introduce basic computer vision techniques that you can apply in your deep learning pipeline to make your model more robust. Augmentation can be used during training to increase the number of distinct examples and make your model more robust for slight variations. Moreover, it can be used during testing—Test Time Augmentation (TTA). Not every augmentation is suitable for every problem. For example, flipping a traffic sign with an arrow to the left has a different meaning than the original. We will be implementing our augmentation function with ...