---
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](https://cocodataset.org/) dataset. 

The splits in this dataset is set according to [Andrej Karpathy's split](https://www.kaggle.com/datasets/shtvkumar/karpathy-splits) 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}, 
}
```