README.md

metadata

dataset_info:
  features:
    - name: cocoid
      dtype: int64
    - name: filename
      dtype: string
    - name: en
      sequence: string
    - name: image
      dtype: image
  splits:
    - name: train
      num_bytes: 13605159347.001
      num_examples: 82783
    - name: val
      num_bytes: 801690793
      num_examples: 5000
    - name: restval
      num_bytes: 5049338394.68
      num_examples: 30504
    - name: test
      num_bytes: 813542515
      num_examples: 5000
  download_size: 20113783282
  dataset_size: 20269731049.681
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
      - split: val
        path: data/val-*
      - split: restval
        path: data/restval-*
      - split: test
        path: data/test-*
license: cc-by-4.0
task_categories:
  - text-to-image
  - image-to-text
language:
  - en
size_categories:
  - 100K<n<1M

Common Objects in Context (COCO) Dataset

This dataset is English captions of COCO dataset.

The splits in this dataset is set according to Andrej Karpathy's split from dataset_coco.json file. The collection was created specifically for simplicity of use in training and evaluation pipeline by non-commercial and research purposes. The COCO images dataset is licensed under a Creative Commons Attribution 4.0 License.

Reference

@misc{lin2015microsoftcococommonobjects,
      title={Microsoft COCO: Common Objects in Context}, 
      author={Tsung-Yi Lin and Michael Maire and Serge Belongie and Lubomir Bourdev and Ross Girshick and James Hays and Pietro Perona and Deva Ramanan and C. Lawrence Zitnick and Piotr Dollár},
      year={2015},
      eprint={1405.0312},
      archivePrefix={arXiv},
      primaryClass={cs.CV},
      url={https://arxiv.org/abs/1405.0312}, 
}