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OpenSpineConsortium/CTSpinoPelvic1K

398 downloads in 30 days0 likesLast modified 23 Sep 2026View on Hugging Face

The declared licence (cc-by-nc-4.0) and the licence detected in a repository file (apache-2.0) fall into different categories, so the licences may conflict.

Declared licence: cc-by-nc-4.0, from the tagEvidence: README.md at 72cd777
Licence files: LICENSE, detected as apache-2.0Evidence: LICENSE at 72cd777
Declared sources: 3
Access gated on Hugging Face: No

Red marks the licence the signal is based on. Each cell links to what was checked: a file, a file list or a Hub record.

Sources listed in the card metadata

other-ctspine1knot foundUnclearEvidence: Hub page
other-ctpelvic1knot foundUnclearEvidence: Hub page
other-tcia-ct-colonographynot foundUnclearEvidence: Hub page

Tasks

image-segmentation

Citation text from the card

@misc{ctspinopelvic1k,
  title        = {{CTSpinoPelvic1K}: A CT-Native Benchmark for Lumbosacral
                  Transitional Vertebra Segmentation},
  author       = {Schwing, Gregory and the OpenSpine Consortium},
  year         = {2026},
  publisher    = {HuggingFace},
  howpublished = {\url{https://huggingface.co/datasets/OpenSpineConsortium/CTSpinoPelvic1K}},
}

@misc{smith2015ctcolonography,
  author       = {Smith, K. and Clark, K. and Bennett, W. and Nolan, T. and
                  Kirby, J. and Wolfsberger, M. and Moulton, J. and
                  Vendt, B. and Freymann, J.},
  title        = {Data From CT COLONOGRAPHY},
  year         = {2015},
  publisher    = {The Cancer Imaging Archive},
  doi          = {10.7937/K9/TCIA.2015.NWTESAY1},
}

@article{deng2021ctspine1k,
  title   = {{CTSpine1K}: A Large-Scale Dataset for Spinal Vertebrae Segmentation
             in Computed Tomography},
  author  = {Deng, Yang and Wang, Ce and Hui, Yuan and Li, Qian and Li, Jun and
             Luo, Shiwei and Sun, Mengke and Quan, Quan and Yang, Shuxin and
             Hao, You and Liu, Pengbo and Xiao, Honghu and Zhao, Chunpeng and
             Wu, Xinbao and Zhou, S. Kevin},
  journal = {Machine Learning for Biomedical Imaging},
  volume  = {3},
  pages   = {824--832},
  year    = {2021},
  doi     = {10.59275/j.melba.2025-gf84},
}

@article{liu2021ctpelvic1k,
  title   = {Deep Learning to Segment Pelvic Bones: Large-Scale {CT} Datasets and
             Baseline Models},
  au

All datasets marked Possible licence conflict | JSON

The same facts for your agent

A free MCP server at mcp.datalicense.uk/mcp. Connect it from an MCP client such as Claude or Cursor.

dataset_licence({ "id": "OpenSpineConsortium/CTSpinoPelvic1K" })
signal: "conflict"
stated_licence: "cc-by-nc-4.0"
sources: 3