What exactly mean semantically richer and spatially more precise in image processing?

1. Why is semantic segmentation important?
2. What are the applications of semantic segmentation?

Why is semantic segmentation important?

Semantic Segmentation is a technique that enables us to differentiate different objects in an image. It can be considered an image classification task at a pixel level.

What are the applications of semantic segmentation?

Semantic image segmentation is the process of mapping and classifying the natural world for many critical applications such as especially autonomous driving, robotic navigation, localization, and scene understanding.