Datasets:
Tasks:
Image Segmentation
Modalities:
Image
Formats:
imagefolder
Languages:
English
Size:
< 1K
ArXiv:
License:
| task_categories: | |
| - image-segmentation | |
| tags: | |
| - Crack Segmentation | |
| - Low-light Crack | |
| license: apache-2.0 | |
| language: | |
| - en | |
| pretty_name: LCSD | |
| size_categories: | |
| - n<1K | |
| # LCSD: Low-light Crack Segmentation Dataset | |
| [ICRA 2024] CrackNex: a Few-shot Low-light Crack Segmentation Model Based on Retinex Theory for UAV Inspections. | |
| ## Related Resources | |
| - **Code repository**: https://github.com/zyaocoder/CrackNex | |
| - **Paper (arXiv)**: https://arxiv.org/abs/2403.03063 | |
| ## Dataset Overview | |
| - **102 images** well-illuminated crack images as training set | |
| - **41 images** 41 low-light crack images as test set | |
| ## Download | |
| Use command to download the dataset directly into your path: | |
| ``` | |
| huggingface-cli download chrisathy/LCSD --repo-type dataset --local-dir ./LCSD | |
| ``` | |
| ## Citation | |
| If you use this dataset, please cite: | |
| ```bibtex | |
| @inproceedings{yao2024cracknex, | |
| title={Cracknex: a few-shot low-light crack segmentation model based on retinex theory for uav inspections}, | |
| author={Yao, Zhen and Xu, Jiawei and Hou, Shuhang and Chuah, Mooi Choo}, | |
| booktitle={2024 IEEE International Conference on Robotics and Automation (ICRA)}, | |
| pages={11155--11162}, | |
| year={2024}, | |
| organization={IEEE} | |
| } | |
| ``` | |
| --- |