The Visual Genome Project

The Visual Genome Project is an extensive dataset that links images with detailed annotations, such as objects, actions, and relationships within scenes. Its goal is to bridge the gap between visual content and language, enabling computers to better understand and interpret images like humans do. By providing rich, structured descriptions alongside images, it supports advancements in computer vision and artificial intelligence, helping machines recognize objects, understand context, and answer questions about visual data more accurately. This resource is valuable for developing smarter AI systems capable of complex visual comprehension.