LOw-Light dataset
The LOL dataset is composed of 500 low-light and normal-light image pairs and divided into 485 training pairs and 15 testing pairs. The low-light images contain noise produced during the photo capture process. Most of the images are indoor scenes. All the images have a resolution of 400×600.
Source: Unsupervised Real-world Low-light Image Enhancement with Decoupled Networks
Image Source: https://daooshee.github.io/BMVC2018website/
Variants: LOL
This dataset is used in 1 benchmark:
| Task | Model | Paper | Date |
|---|---|---|---|
| Unified Image Restoration | DA-RCOT | Degradation-Aware Residual-Conditioned Optimal Transport for … | 2024-11-03 |
Recent papers with results on this dataset: