| --- |
| 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}, |
| } |
| ``` |
