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  ### Dataset Summary
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- COCO is a large-scale object detection, segmentation, and captioning dataset. COCO has several features:
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- - Object segmentation
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- - Recognition in context
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- - Superpixel stuff segmentation
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- - 330K images (>200K labeled)
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- - 1.5 million object instances
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- - 80 object categories
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- - 91 stuff categories
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- - 5 captions per image
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- - 250,000 people with keypoints
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  Disclaimer: The team releasing COCO did not upload the dataset to the Hub and did not write a dataset card.
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  These steps were done by the Hugging Face team.
 
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  ### Dataset Summary
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+ COCO is a large-scale object detection, segmentation, and captioning dataset. This repo contains five captions per image; useful for sentence similarity tasks.
 
 
 
 
 
 
 
 
 
 
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  Disclaimer: The team releasing COCO did not upload the dataset to the Hub and did not write a dataset card.
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  These steps were done by the Hugging Face team.