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