Datasets:
Tasks:
Image Segmentation
Modalities:
Image
Formats:
imagefolder
Languages:
English
Size:
< 1K
ArXiv:
License:
Update README.md
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README.md
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---
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license:
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---
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license: cc-by-4.0
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task_categories:
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- low-light crack segmentation
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language:
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- en
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tags:
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- low-light
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- crack segmentation
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- benchmark
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size_categories:
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- 0.1K<n<1K
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pretty_name: LCSD
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---
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# LCSD: Low-light Crack Segmentation Dataset
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[ICRA 2024] CrackNex: a Few-shot Low-light Crack Segmentation Model Based on Retinex Theory for UAV Inspections.
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## Related Resources
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- **Code repository**: https://github.com/zyaocoder/CrackNex
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- **Paper (arXiv)**: https://arxiv.org/abs/2403.03063
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## Dataset Overview
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- **102 images** well-illuminated crack images as training set
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- **41 images** 41 low-light crack images as test set
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## Citation
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If you use this dataset, please cite:
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```bibtex
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@inproceedings{yao2024cracknex,
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title={Cracknex: a few-shot low-light crack segmentation model based on retinex theory for uav inspections},
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author={Yao, Zhen and Xu, Jiawei and Hou, Shuhang and Chuah, Mooi Choo},
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booktitle={2024 IEEE International Conference on Robotics and Automation (ICRA)},
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pages={11155--11162},
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year={2024},
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organization={IEEE}
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}
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```
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---
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