COCO (Common Objects in Context)

COCO, or Common Objects in Context, is a large dataset used in computer vision research to help machines recognize and understand everyday objects in various settings. It contains images of common items, like people, animals, and everyday objects, captured in realistic scenes, often with complex backgrounds. Each image is labeled not only with the objects it contains but also with their locations and relationships to one another. This rich context allows researchers to develop algorithms that can better interpret and analyze visual data, leading to advancements in technologies like self-driving cars and smart cameras.