COCO Dataset

COCO, or Common Objects in Context, is an image dataset with annotations for various Computer Vision tasks, including Object Detection, Instance Segmentation, Panoptic Segmentation, and Image Captioning. Given its size and wide range of annotations, COCO is one of the most widely used datasets for Computer Vision research.
Related concepts:
MNIST Dataset
Related video:
https://youtube.com/shorts/U4LC6rzsuD0
External reference:
https://cocodataset.org/#home