- For semantic segmentation of sea cucumber habitat.
- 600 1080p images and ground-truth masks for 6 classes.
- BG:Background •WB:Waterbody •WR:Wrecks/ruins
- AP:Aquatic plants •PI:Pipelines •SC:Sea cucumber
Kunqian Li, Weilin Du, Yunlong Zhuang, Bingye Wang, Zhihao Huang and Sheng Gao from Ocean University of China.
The data is available for download on Google Drive.
On extraction, the downloaded file results in the following directory
SC-HPD/
Annotations/
600 annotation files.
JPEGImages/
600 RGB images.
SegmentationClass/
600 ground-truth segmentation labels.
If you find this dataset helpful, please cite the following works.
@misc{qi2022sguienet,
title={SGUIE-Net: Semantic Attention Guided Underwater Image Enhancement with Multi-Scale Perception},
author={Qi Qi and Kunqian Li and Haiyong Zheng and Xiang Gao and Guojia Hou and Kun Sun},
year={2022},
eprint={2201.02832},
archivePrefix={arXiv},
primaryClass={eess.IV}
}