Data Discovery

COCO

Large-scale object detection, segmentation, and captioning dataset.

Description:

COCO is a large-scale object detection, segmentation, and captioning dataset, with these 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, and 250,000 people with keypoints.

Additional details available in the PSC Bridges-2 Data Collections User Guide.


Data Resources Type: Data
Attributes
Keywordsobject detection, segmentation, captioning
Quality LevelProduction
Audiencexsede.org
TopicsInformatics, Analytics and Information Science

Relations
Supported ByXSEDE Help Desk (unavailable)
Published ByCOCO Consortium Support
Provided ByPittsburgh Supercomputing Center (PSC)
Hosted OnPSC Bridges-2 Regular Memory (Bridges-2 RM)

National Science Foundation (NSF)

© ACCESS All Rights Reserved.

ACCESS is an advanced computing and data resource supported by the National Science Foundation and made possible through these lead institutions and their partners:
Carnegie Mellon University, University of Colorado Boulder, University of Illinois at Urbana-Champaign, and State University of New York at Buffalo .


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