README.md

---
license: apache-2.0
task_categories:
- image-text-to-text
tags:
- image
language:
- en
size_categories:
- 100K<n<1M
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train/*
  - split: val
    path: data/val/*
---

# COCO Narratives

[Original Source](https://cocodataset.org/) | [Google Localized Narrative](https://google.github.io/localized-narratives/)

## 📌 Introduction

This dataset collects the images and annotations from the original MS COCO 2017 and the annotations from the project [localized-narratives](https://github.com/google/localized-narratives)

## 🙏 Acknowledgement

All credits to the original COCO project and the localized-narratives teams.

## 📜 Cite

Please consider to cite the following related papers:

```bibtex
@article{DBLP:journals/corr/LinMBHPRDZ14,
  author       = {Tsung{-}Yi Lin and
                  Michael Maire and
                  Serge J. Belongie and
                  Lubomir D. Bourdev and
                  Ross B. Girshick and
                  James Hays and
                  Pietro Perona and
                  Deva Ramanan and
                  Piotr Doll{\'{a}}r and
                  C. Lawrence Zitnick},
  title        = {Microsoft {COCO:} Common Objects in Context},
  journal      = {CoRR},
  volume       = {abs/1405.0312},
  year         = {2014},
  url          = {http://arxiv.org/abs/1405.0312},
  eprinttype    = {arXiv},
  eprint       = {1405.0312},
  timestamp    = {Mon, 13 Aug 2018 16:48:13 +0200},
  biburl       = {https://dblp.org/rec/journals/corr/LinMBHPRDZ14.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

@inproceedings{PontTuset_eccv2020,
  author    = {Jordi Pont-Tuset and Jasper Uijlings and Soravit Changpinyo and Radu Soricut and Vittorio Ferrari},
  title     = {Connecting Vision and Language with Localized Narratives},
  booktitle = {ECCV},
  year      = {2020}
}
```