Difference between revisions of "COCO"

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|Developed by=Cornell Tech, Toyota Technological Institute, Facebook AI Research, Microsoft Research, Brown University, California Institute of Technology, University of Califorina
 
|Developed by=Cornell Tech, Toyota Technological Institute, Facebook AI Research, Microsoft Research, Brown University, California Institute of Technology, University of Califorina
 
|Developed by (people)=Tsung-Yi Lin, Genevieve Patterson, Matteo R. Ronchi, Yin Cui, Michael Maire, Serge Belongie, Lubomir Bourdev, Ross Girshick, James Hays, Pietro Perona, Deva Ramanan, Larry Zitnick, Piotr Dollár
 
|Developed by (people)=Tsung-Yi Lin, Genevieve Patterson, Matteo R. Ronchi, Yin Cui, Michael Maire, Serge Belongie, Lubomir Bourdev, Ross Girshick, James Hays, Pietro Perona, Deva Ramanan, Larry Zitnick, Piotr Dollár
|Creation Date=2014-05-01
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|Has event={{HasEvent|Start|2014-05-01|Documented}}|Dataset Category=Uncontrolled
|Dataset Category=Uncontrolled
 
 
|URL=https://cocodataset.org/
 
|URL=https://cocodataset.org/
 
|Custodian institution=Microsoft Research, Facebook AI Research, Mighty AI, CVDF
 
|Custodian institution=Microsoft Research, Facebook AI Research, Mighty AI, CVDF

Revision as of 11:15, 3 May 2022

COCO
Developed by (People) Tsung-Yi Lin, Genevieve Patterson, Matteo R. Ronchi, Yin Cui, Michael Maire, Serge Belongie, Lubomir Bourdev, Ross Girshick, James Hays, Pietro Perona, Deva Ramanan, Larry Zitnick, Piotr Dollár
"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



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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This page uses the following references:

  • References#_SCITE585a888e59550af899095ce87b01b130

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References

  1. ^  |  Lin, Tsung-Yi and Maire, Michael and Belongie, Serge and Bourdev, Lubomir and Girshick, Ross and Hays, James and Perona, Pietro and Ramanan, Deva and Zitnick, C. Lawrence and Dollár, Piotr. Microsoft COCO: Common Objects in Context. , 2015.