COCO

Details

Technical information:

Full name	Microsoft COCO: Common Objects in Context
Country
Contents	Uncontrolled
Images	330,000
Individuals	250,000
Runs database software
URL"URL" is a type and predefined property provided by Semantic MediaWiki to represent URI/URL values.	https://cocodataset.org/
Related Technology

Developers and Users:

Developed by	Facebook AI Research Cornell Tech Toyota Technological Institute Microsoft Research Brown University California Institute of Technology University of Califorina
Owning institution
Custodian institution	Facebook AI Research CVDF Mighty AI Microsoft Research

What links here[ ]

Deployments[ ]

Test of One and a half meter monitor

Products[ ]

Description[edit | ]

COCO is a large-scale object detection, segmentation, and captioning dataset. COCO has several features:
Object segmentation Recognition in context Superpixel stuff segmentation 330K images (>200K labeled) 1.5 million object instances 80 object categories 91 stuff categories 5 captions per image 250,000 people with keypoints
- https://cocodataset.org/

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COCO
"Global" Information Certainty
Events	* uses Record type Property:Has event Start (1 May 2014, Documented, ?, No description)
Dataset Category	Uncontrolled
URL	https://cocodataset.org/
Keywords	Object segmentation, Keypoint, Object Detection
Related Technology
Owning institution
Custodian institution	Microsoft Research, Facebook AI Research, Mighty AI, CVDF
Custodian institution	Microsoft Research, Facebook AI Research, Mighty AI, CVDF
has funding
has images	330000
has individuals	250000
runs database software
runs search software
Dataset full name	Microsoft COCO: Common Objects in Context
Dataset Category
Country