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---
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},
}
``` |