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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}
}
``` |