Hi folks,
I always wanted to use RandAugment to improve the robustness of my vision models. But never found a straightforward example that showed how to use it in the context of TensorFlow and Keras.
Now, together with the community, we have one such example showing a clear advantage of RandAugment for improving the robustness of vision models:

  
      
      keras.io
  
  
    

Keras documentation: RandAugment for Image Classification for Improved... 27



  
  
    
    
  
  


The example shows how to use the imgaug library together with tf.py_function inside tf.data pipelines. Of course, it has its own demerits. But hey, that’s life!