chunk_content: ansform training and validation data. The two functions
  are similar except data augmentation is applied only to the training data.  
  
  
  	Copied
  from PIL import Image
  
  
  def train_transforms(example_batch):
      images = [jitter(handle_grayscale_image(x)) for x in example_batch["image"]]
      labels = [x for x in example_batch["annotation"]]
      inputs = image_processor(images, labels)
      return inputs
  
  
  def val_transforms(example_batch):
      image