Data Discovery
COCO Consortium Support
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 keypoint
- ContactURL is https://cocodataset.org/
- ContactEmail is info@cocodataset.org
| Quality Level | Production |
| Audience | xsede.org |
| Topics | Support |
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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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