Visual Question Answering is the task of answering open-ended questions based on an image. They output natural language responses to natural language questions.
https://huggingface.co/tasks/visual-question-answering
About Visual Question Answering
Use Cases
Aid the Visually Impaired Persons
VQA models can be used to reduce visual barriers for visually impaired individuals by allowing them to get information about images from the web and the real world.

Education
VQA models can be used to improve experiences at museums by allowing observers to directly ask questions they interested in.

Improved Image Retrieval
Visual question answering models can be used to retrieve images with specific characteristics. For example, the user can ask "Is there a dog?" to find all images with dogs from a set of images.

Video Search
Specific snippets/timestamps of a video can be retrieved based on search queries. For example, the user can ask "At which part of the video does the guitar appear?" and get a specific timestamp range from the whole video.

huggingface.co

What is Visual Question Answering? - Hugging Face

Learn about Visual Question Answering using Machine Learning