Semantic Segmentation and Its Applications

Semantic segmentation is the process of tagging each pixel in an image with a label. This is in stark contrast to classification, in which the entire image is assigned a single label. Multiple objects of the same class are treated as a single entity by semantic segmentation. Instance segmentation , on the other hand, treats multiple objects belonging to the same class as distinct individual objects (or instances). Typically, instance segmentation is harder than semantic segmentation. This blog discusses what is semantic segmentation and what are its application. Applications of Segmenting Instances Semantic segmentation is applied in a variety of real-world situations. The following are some notable applications of semantic segmentation. Autonomous Driving Semantic segmentation is used to categorize lanes, vehicles, people, and other interesting objects. The resulting data is used to make intelligent decisions that will properly guide the vehicle. One constr...