MS COCO (Microsoft Common Objects in Context)

MS COCO (Microsoft Common Objects in Context) is a large dataset used for training and testing computer vision systems. It contains thousands of images featuring everyday objects like cars, dogs, and chairs in real-world scenes. Each image is carefully labeled with detailed annotations, including object boundaries, categories, and descriptions. This dataset helps computers recognize, locate, and understand objects within complex environments, enabling advancements in tasks such as image recognition, captioning, and object detection. Overall, MS COCO serves as a critical resource for developing more accurate and context-aware visual AI technologies.