LoLI-Street
We introduce low-light image enhancement benchmark dataset “Low-light Images of Streets (LoLI-Street),” which contains three subsets: train, validation, and test. The train and validation sets consist of 30k and 3k paired low-light and high-light images, respectively, and the real low-light test set (RLLT) contains 1k images under real-world low-light conditions, totaling 33k images.
1. [Download LoLI-Street Dataset]( https://www.kaggle.com/datasets/tanvirnwu/loli-street-low-light-image-enhancement-of-street)
2. Read Full Paper
## Citation:
If you use the dataset, please cite our paper:
``python
@InProceedings{Islam_2024_ACCV,
author = {Islam, Md Tanvir and Alam, Inzamamul and Woo, Simon S. and Anwar, Saeed and Lee, IK Hyun and Muhammad, Khan},
title = {LoLI-Street: Benchmarking Low-light Image Enhancement and Beyond},
booktitle = {Proceedings of the Asian Conference on Computer Vision (ACCV)},
month = {December},
year = {2024},
pages = {1250-1267}}
``
Thank you!