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- ---
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- license: apache-2.0
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- dataset_info:
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- features:
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- - name: image
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- dtype: image
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- - name: text
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- dtype: string
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- splits:
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- - name: train
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- num_bytes: 2091626866.0
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- num_examples: 40000
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- download_size: 2070430367
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- dataset_size: 2091626866.0
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- configs:
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- - config_name: default
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- data_files:
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- - split: train
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- path: data/train-*
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ license: apache-2.0
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+ dataset_info:
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+ features:
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+ - name: image
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+ dtype: image
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+ - name: text
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+ dtype: string
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+ splits:
10
+ - name: train
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+ num_bytes: 2091626866
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+ num_examples: 40000
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+ download_size: 2070430367
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+ dataset_size: 2091626866
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+ configs:
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+ - config_name: default
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+ data_files:
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+ - split: train
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+ path: data/train-*
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+ task_categories:
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+ - text-to-image
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+ - image-to-text
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+ language:
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+ - en
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+ tags:
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+ - COCO
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+ - Human
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+ size_categories:
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+ - 10K<n<100K
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+ ---
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+
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+ Dataset Summary:
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+
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+ The COCO dataset is a comprehensive collection designed for object detection, segmentation, and captioning tasks.
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+ It comprises over 200,000 images, encompassing a diverse array of everyday scenes and objects.
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+ Each image features multiple objects and scenes across 80 distinct object categories, all of which are annotated with descriptive image captions.