Updated on Sept 02, 2022 (Updated the dataset link)
Updated on June 02, 2019 (Code for low-light image enhancement is released)
Updated on Oct. 31, 2018 (Accepted for publication in CVIU)
Released on May 29, 2018
In order to facilitate a new object detection and image enhancement research particularly in the low-light environment, we introduce the Exclusively Dark (ExDark) dataset (CVIU2019). The Exclusively Dark (ExDARK) dataset is a collection of 7,363 low-light images from very low-light environments to twilight (i.e 10 different conditions) with 12 object classes (similar to PASCAL VOC) annotated on both image class level and local object bounding boxes.
The source code for our work on low-light image enhancement is now available. Please refer to the SPIC folder.
If you find this dataset useful for your research, please cite
@article{Exdark,
title = {Getting to Know Low-light Images with The Exclusively Dark Dataset},
author = {Loh, Yuen Peng and Chan, Chee Seng},
journal = {Computer Vision and Image Understanding},
volume = {178},
pages = {30-42},
year = {2019},
doi = {https://doi.org/10.1016/j.cviu.2018.10.010}
}Suggestions and opinions on this dataset (both positive and negative) are greatly welcomed. Please contact the authors by sending an email to
lexloh2009 at hotmail.comor cs.chan at um.edu.my.
The project is open source under BSD-3 license (see the LICENSE file).
For commercial purpose usage, please contact Dr. Chee Seng Chan at cs.chan at um.edu.my
©2018-2022 Center of Image and Signal Processing, Faculty of Computer Science and Information Technology, Universiti Malaya.