jing222/infra_3DAL

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The declared licence (mit) is classified as permissive.

Declared licence: mit, from the tagEvidence: README.md at 2cf914a
Licence files: No licence file at the top level of the repositoryEvidence: file list at 2cf914a
Declared sources: None listed in the card metadata
Access gated on Hugging Face: No

Each cell links to what was checked: a file, a file list or a Hub record.

Citation text from the card

@article{jing2024anomaly,
  title={Anomaly detection of cracks in synthetic masonry arch bridge point clouds using fast point feature histograms and PatchCore},
  author={Jing, Yixiong and Zhong, Jia-Xing and Sheil, Brian and Acikgoz, Sinan},
  journal={Automation in Construction},
  volume={168},
  pages={105766},
  year={2024},
  publisher={Elsevier}
}

@article{jing20253d,
  title={3D multimodal feature for infrastructure anomaly detection},
  author={Jing, Yixiong and Lin, Wei and Sheil, Brian and Acikgoz, Sinan},
  journal={Automation in Construction},
  volume={178},
  pages={106388},
  year={2025},
  publisher={Elsevier}
}

@phdthesis{jing2025development,
  title={Development of synthetic point cloud data and deep learning algorithms for automatic segmentation and defect detection in masonry bridges},
  author={Jing, Yixiong},
  year={2025},
  school={University of Oxford}
}

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dataset_licence({ "id": "jing222/infra_3DAL" })
signal: "permissive"
stated_licence: "mit"
sources: 0