Factual Visual Question Answering

Factual Visual Question Answering is a technology that integrates computer vision with natural language processing, aiming to accurately answer users' visually related questions by analyzing the content of images. The goal of this technology is to enhance the machine's ability to understand images, enabling it to extract objective facts from them and generate precise and reliable answers. Its application value lies in its broad applicability to intelligent assistants, educational tutoring, medical diagnosis, and other fields, improving the efficiency and accuracy of information acquisition.