Can you post process results from Cloud ML's prediction output?
I'll answer (1): we have an Alpha API that will permit this. Please contact cloudml-feedback@google.com for more information.
I have a model for object detection (Faster RCNN from Tensorflow's Object Detection API) running on Google Cloud ML. I also have some code to filter the resulting bounding boxes based on size, aspect ratio etc.

Is it possible to run this code as part of the prediction process so I don't need to run a separate process to do it afterwards.
Is it possible to limit the number of bounding boxes predicted by the model based on some confidence threshold, as currently outputting a lot of extraneous data.