Semantic image segmentation is a term used in the fields of artificial intelligence, automation, industry and Factory 4.0. This technology helps computers to divide digital images into meaningful areas and understand what can be seen on them.
Imagine you are looking at a photo of a street: People, cars, trees and buildings are visible. Using semantic image segmentation, a computer automatically recognises what is a car, what is a person and what is the background. The image is therefore divided into different "zones", each of which is assigned to a specific object or group.
A practical example: Autonomous robots often travel around modern factories. To enable them to work safely and efficiently, they use semantic image segmentation to recognise and avoid obstacles such as boxes, forklift trucks or people in their path.
This technology is so important because it forms the basis for many applications relating to automation and artificial intelligence - from the optimisation of production facilities to the development of self-driving vehicles.
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