TensorFlow in Action

8 Telling things apart: Image segmentation

This chapter covers

• Understanding segmentation data and working with it in Python
• Implementing a fully fledged segmentation data pipeline
• Implementing an advanced segmentation model (DeepLab v3)
• Compiling models with custom-built image segmentation loss functions/metrics
• Training the image segmentation model on the clean and processed image data
• Evaluating the trained segmentation model

In the last chapter, we learned about various advanced computer vision models and techniques to push the performance of an image classifier. We learned about the architecture of Inception net v1 as well as its successors (e.g., Inception net v2, v3, and v4). Our objective was to lift the performance of the model on ...