Building a Toy Detector with Tensorflow Object Detection API

This project is second phase of my popular project - Is Google Tensorflow Object Detection API the easiest way to implement image recognition? In the original article I used the models provided by Tensorflow to detect common objects in youtube videos. These models were trained on the COCO dataset and work well on the 90 commonly found objects included in this dataset. Here I extend the API to train on a new object that is not part of the COCO dataset. In this case I chose a toy that was lying around.