MS COCO的全称是Microsoft Common Objects in Context，起源于微 软于2014年出资标注的Microsoft COCO数据集，与ImageNet竞赛一样，被视为是计算机视觉领域最受关注和最权威的比赛之一。
Introduction to COCO2017
Microsoft Common Objects in Context, originating from the Microsoft COCO dataset annotated by Microsoft in 2014. Like the ImageNet competition, it is considered one of the most watched and authoritative competitions in the field of computer vision.
COCO2017数据集下载 (Download COCO2017)
Images
2017 Train images [118K/18GB]: http://images.cocodataset.org/zips/train2017.zip
2017 Val images [5K/1GB]: http://images.cocodataset.org/zips/val2017.zip
2017 Test images [41K/6GB]: http://images.cocodataset.org/zips/test2017.zip
Annotations
2017 Train/Val annotations [241MB]: http://images.cocodataset.org/annotations/annotations_trainval2017.zip
2017 Stuff Train/Val annotations [1.1GB]: http://images.cocodataset.org/annotations/stuff_annotations_trainval2017.zip
2017 Panoptic Train/Val annotations [821MB]: http://images.cocodataset.org/annotations/panoptic_annotations_trainval2017.zip
参考 (Reference)
https://cocodataset.org/
https://docs.ultralytics.com/zh/datasets/detect/coco/
https://blog.csdn.net/weixin_50727642/article/details/122892088