Exclusively Dark (ExDark) Image Dataset

Updated on June 1, 2019 (added codes for low-light image enhancement using Gaussian Process)

Released on May 29, 2018

Description

• In order to facilitate a new object detection and image enhancement research, we introduce the Exclusively Dark (ExDark) dataset (CVIU 2019). 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 (as to PASCAL VOC) annotated on both image class level and local object bounding boxes.

• Now available, codes for low-light image enhancement using Gaussian Process for features retrieval. (SPIC 2019)

Citation

If you find this dataset and/or work useful for your research, please cite

@article{loh2019getting,
  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},
  publisher={Elsevier}
}

@article{loh2019low,
  title={Low-light image enhancement using Gaussian Process for features retrieval},
  author={Loh, Yuen Peng and Liang, Xuefeng and Chan, Chee Seng},
  journal={Signal Processing: Image Communication},
  volume={74},
  pages={175--190},
  year={2019},
  publisher={Elsevier}
}

Feedback

Suggestions and opinions of 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.

License

The project is open sourced under BSD-3 license (see the LICENSE file). Codes can be used freely only for academic purpose.