Summary

In the first part of this chapter, we learnt how to build a RESTful service for object detection using an existing classifier, and we also learned to build an accurate object detector using the YOLO architecture object detection classifier using Keras, while also implementing transfer learning. In the second part of the chapter, we understood what image segmentation is and built an image segmentation model on images from the COCO dataset. We also tested the performance of the object detector and the image segmenter on test data, and determined that we succeeded in achieving the goal.