Image Augmentation with Keras Preprocessing Layers and tf.image
When you work on a machine learning problem related to images, not only do you need to collect some images as training data, but you also need to employ augmentation to create variations in the image. It is especially true for more complex object recognition problems.
There are many ways for image augmentation. You may use some external libraries or write your own functions for that. There are some modules in TensorFlow and Keras for augmentation too.
In this post, you will discover how you can use the Keras preprocessing layer as well as the tf.image module in TensorFlow for image augmentation.
After reading this post, you will know:
- What are the Keras preprocessing layers, and how to use