Datasets:
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---
license: apache-2.0
task_categories:
- image-to-text
language:
- en
tags:
- multi-modal image quality assessment
pretty_name: Data-DeQA-Score
size_categories:
- 10K<n<100K
---
# Data-DeQA-Score
Datasets of the DeQA-Score paper
(
[project page](https://depictqa.github.io/deqa-score/) /
[codes](https://github.com/zhiyuanyou/DeQA-Score) /
[paper](https://arxiv.org/abs/2501.11561)
)
in our [DepictQA project](https://depictqa.github.io/).
## Dataset Construction
- Download our meta files in this repo.
- Download source images from [KonIQ](https://database.mmsp-kn.de/koniq-10k-database.html),
[SPAQ](https://github.com/h4nwei/SPAQ),
[KADID](https://database.mmsp-kn.de/kadid-10k-database.html),
[PIPAL](https://github.com/HaomingCai/PIPAL-dataset),
[LIVE-Wild](https://live.ece.utexas.edu/research/ChallengeDB/index.html),
[AGIQA](https://github.com/lcysyzxdxc/AGIQA-3k-Database),
[TID2013](https://www.ponomarenko.info/tid2013.htm),
and [CSIQ](https://s2.smu.edu/~eclarson/csiq.html).
- Arrange the folders as follows:
```
|-- Data-DeQA-Score
|-- KONIQ
|-- images/*.jpg
|-- metas
|-- SPAQ
|-- images/*.jpg
|-- metas
|-- KADID10K
|-- images/*.png
|-- metas
|-- PIPAL
|-- images/Distortion_*/*.bmp
|-- metas
|-- LIVE-WILD
|-- images/*.bmp
|-- metas
|-- AGIQA3K
|-- images/*.jpg
|-- metas
|-- TID2013
|-- images/distorted_images/*.bmp
|-- metas
|-- CSIQ
|-- images/dst_imgs/*/*.png
|-- metas
```
If you find our work useful for your research and applications, please cite using the BibTeX:
```bibtex
@inproceedings{deqa_score,
title={Teaching Large Language Models to Regress Accurate Image Quality Scores using Score Distribution},
author={You, Zhiyuan and Cai, Xin and Gu, Jinjin and Xue, Tianfan and Dong, Chao},
booktitle={IEEE Conference on Computer Vision and Pattern Recognition},
year={2025},
}
``` |