Semantic image segmentation is a term from the fields of Artificial Intelligence, automation, and Industry and Factory 4.0. This technique helps computers to divide digital images into meaningful regions and understand what is visible in them.<\/p>\n
Imagine you're looking at a photograph of a street: people, cars, trees, and buildings are visible. Through semantic image segmentation, a computer automatically recognises what is a car, what is a person, and what is the background. The image is thus divided into various \u201ezones,\u201c each assigned to a specific object or group.<\/p>\n
A practical example: In modern factories, autonomous robots often move around. So that they can work safely and efficiently, they use semantic image segmentation to recognise obstacles such as boxes, forklifts or people in their path and avoid them.<\/p>\n
This technology is so important because it forms the basis for many applications related to automation and artificial intelligence \u2013 from the optimisation of production plants to the development of self-driving vehicles.<\/p>","protected":false},"excerpt":{"rendered":"