This example demonstrates how to use kubeflow to train/serve an object detection model on an existing K8s cluster using the TensorFlow object detection API

This example is based on the TensorFlow Pets tutorial.

1. Setup a Kubeflow cluster
2. Submit a distributed object detection training job
3. Monitor your training job
4. Export model
5. Serve the model with GPU
6. Submit a batch prediction job using GPU