Visual question answering is a term used in the fields of artificial intelligence, digital transformation and big data. It is a technology that enables computers to answer complex questions about images. This means that an AI can not only recognise what can be seen in a photo, but can also answer specific questions about it.
For example, you can show the AI a picture of a living room and ask: "How many people are sitting on the sofa?" or "What colour is the carpet?" The AI analyses the picture and gives a suitable answer.
Visual question answering is already used in many areas. In online shops, it can help to better recognise products in photos and answer customer questions. In industry, it helps to automatically find errors in machine photos. Even in healthcare, this technology supports doctors by describing changes on X-ray images, for example.
By combining image analysis and speech, visual question answering offers new possibilities for making image information even more useful - and thus creates important advantages for companies of all sizes.
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