COCO dataset

The COCO dataset, short for Common Objects in Context, is a large collection of images designed for computer vision research. It features over 330,000 images containing everyday objects, which are annotated with detailed labels and segmentation masks. This helps algorithms learn to recognize and classify objects in various situations and backgrounds. COCO is widely used for training and evaluating machine learning models, particularly for tasks like object detection and image captioning, making it a crucial resource for advancing artificial intelligence technologies in understanding visual information.