title: What are possible values for data_augmentation_options in the TensorFlow Object Detection pipeline configuration?
body: <p>I have successfully trained an object detection model with TensorFlow with the sample configurations given here: <a href="https://github.com/tensorflow/models/tree/master/object_detection/samples/configs" rel="noreferrer">https://github.com/tensorflow/models/tree/master/object_detection/samples/configs</a></p>
  
  <p>Now I want to fine tune my configuration to get better results. One of the promising options I see in there is "data_augmentation_options" under "train_config". Currently, it looks like this: </p>
  
  <pre><code>train_config: {
    batch_size: 1
    ...
    data_augmentation_options {
      random_horizontal_flip {
      }
    }
  }
  </code></pre>
  
  <p>Are there other options to do random scaling, cropping or tweaking of brightness?</p>