Visual Question Answering (VQA) is an artificial intelligence task that combines computer vision and natural language processing. It involves providing a system with an image and a question about that image, and the system must generate a relevant answer. This technology is used in various applications, such as assisting visually impaired individuals and enhancing interactive learning tools. VQA systems typically rely on deep learning models to analyze the visual content and understand the context of the question. They often utilize datasets like COCO or VQA Dataset for training, which contain images paired with questions and answers.