The COCO Dataset

The COCO (Common Objects in Context) dataset is a large collection of images used to teach computers how to recognize and understand objects in real-world scenes. It contains over 330,000 images featuring everyday items like people, animals, cars, and household objects, with detailed labels indicating their locations and categories. Researchers use COCO to develop and evaluate technologies such as image recognition, object detection, and scene understanding. Its comprehensive, diverse images help machines learn to interpret complex environments, enabling advancements in applications like autonomous vehicles, robotics, and photo organization.