README.md

---
language:
- en
pipeline_tag: image-text-to-text
tags:
- image
- captioning
pretty_name: FineCapEval
size_categories:
- 1K<n<10K
---


# The FineCapEval dataset introduced in [Fine-grained Image Captioning with CLIP Reward (Findings of NAACL 2022)](https://arxiv.org/abs/2205.13115)

* Authors: [Jaemin Cho](https://j-min.io), [David Seunghyun Yoon](https://david-yoon.github.io/), [Ajinkya Kale](https://www.linkedin.com/in/kaleajinkya/), [Franck Dernoncourt](https://research.adobe.com/person/franck-dernoncourt), [Trung Bui](https://sites.google.com/site/trungbuistanford/), [Mohit Bansal](https://www.cs.unc.edu/~mbansal/)
* Paper: https://arxiv.org/abs/2205.13115
* Usage instruction: https://github.com/j-min/CLIP-Caption-Reward#finecapeval


# Reference
Please cite our paper if you find our dataset useful:


```bibtex
@inproceedings{Cho2022CLIPReward,
  title     = {Fine-grained Image Captioning with CLIP Reward},
  author    = {Jaemin Cho and Seunghyun Yoon and Ajinkya Kale and Franck Dernoncourt and Trung Bui and Mohit Bansal},
  booktitle = {Findings of NAACL},
  year      = {2022}
}