TID2013 is a dataset for image quality assessment that contains 25 reference images and 3000 distorted images (25 reference images x 24 types of distortions x 5 levels of distortions).
Source: Lukin et al
Variants: TID2013
This dataset is used in 1 benchmark:
| Task | Model | Paper | Date |
|---|---|---|---|
| No-Reference Image Quality Assessment | ARNIQA | ARNIQA: Learning Distortion Manifold for … | 2023-10-20 |
| No-Reference Image Quality Assessment | UNIQA | You Only Train Once: A … | 2023-10-14 |
| No-Reference Image Quality Assessment | Re-IQA | Re-IQA: Unsupervised Learning for Image … | 2023-04-02 |
| No-Reference Image Quality Assessment | CONTRIQUE | Image Quality Assessment using Contrastive … | 2021-10-25 |
| No-Reference Image Quality Assessment | TReS | No-Reference Image Quality Assessment via … | 2021-08-16 |
| No-Reference Image Quality Assessment | DB-CNN | Blind Image Quality Assessment Using … | 2019-07-05 |
Recent papers with results on this dataset: