Visual Question Answering (VQA) is a field of artificial intelligence that combines computer vision and natural language processing. It involves creating systems that can analyze an image and answer questions about its content. For example, given a picture of a dog, a VQA system might answer questions like "What color is the dog?" or "Is the dog playing with a ball?" VQA systems are trained using large datasets containing images paired with questions and answers. These datasets help the system learn to understand both visual information and language. Applications of VQA include assisting visually impaired individuals and enhancing interactive experiences in virtual reality and education.