The term \u201eTransformer architectures for vision\u201c is primarily at home in the categories of Artificial Intelligence, Digital Transformation, and Industry and Industry 4.0. It is a special type of artificial intelligence that helps computers \u201eunderstand\u201c images and videos astonishingly well. Previously, such Transformer architectures were primarily used for language models. However, new developments are now bringing this technology into image processing as well.<\/p>\n
Imagine a company wants to automate its quality control. Previously, classic image recognition programs were used, comparing shape and colour. With Transformer architectures for vision, the system learns independently what to look for \u2013 for example, whether a manufactured item has tiny defects. This technology analyses millions of details much faster and more accurately than conventional methods.<\/p>\n
The advantage: Transformer architectures for vision can process large amounts of data and also unstructured information. They are capable of recognising connections that would be barely visible to humans, thus making processes more efficient. This represents enormous progress, particularly in industry or in the development of smart camera applications.<\/p>","protected":false},"excerpt":{"rendered":"