Chapter 9: Semantic Segmentation
This is probably the most advanced chapter concerning deep learning, as we will go as far as classifying an image at a pixel level with a technique called semantic segmentation. We will use plenty of what we have learned so far, including data augmentation with generators.
We will study a very flexible and efficient neural network architecture called DenseNet in great detail, as well as its extension for semantic segmentation, FC-DenseNet, and then we will write it from scratch and train it with a dataset built with Carla.
I hope you will find this chapter inspiring and challenging. And be prepared for a long training session because our task can be quite demanding!
In this chapter, we will cover the following topics:
- Introducing semantic segmentation
- Understanding DenseNet for classification
- Semantic segmentation with CNN
- Adapting DenseNet for semantic segmentation
- Coding the blocks of FC-DenseNet
- Improving bad...
