Summary

In this chapter, we have learned about the various segmentation algorithms. We also saw the datasets and metrics that are used for benchmarking. We applied the techniques learned to segment satellite and medical images. In the end, we touched upon the Mask R-CNN algorithm for instance segmentation.

In the next chapter, we will learn about similarity learning. Similarity learning models learn a comparison mechanism between two images. It is useful for several applications such as face recognition. We will learn several model architectures that can be used for similarity learning.