{
 "id": "reffdfr/matterport3d",
 "owner": "reffdfr",
 "name": "matterport3d",
 "downloads": 21,
 "likes": 0,
 "last_modified": "2025-12-17T14:20:00.000Z",
 "stated_licence": "apache-2.0",
 "stated_from": "tag",
 "licence_name": null,
 "licence_link": null,
 "file_licence": null,
 "licence_files": [],
 "sources": [],
 "gated": false,
 "tasks": [
  "image-segmentation"
 ],
 "citation": "```text\n@article{Matterport3D,\n  title={Matterport3D: Learning from RGB-D Data in Indoor Environments},\n  author={Chang, Angel and Dai, Angela and Funkhouser, Thomas and Halber, Maciej and Niessner, Matthias and Savva, Manolis and Song, Shuran and Zeng, Andy and Zhang, Yinda},\n  journal={International Conference on 3D Vision (3DV)},\n  year={2017}\n}\n```",
 "signal": "permissive",
 "reason": "The declared licence (apache-2.0) is classified as permissive.",
 "revision": "daa03542df67683ddbfaa3193d9f567659b1961d",
 "stated_evidence": "https://huggingface.co/datasets/reffdfr/matterport3d/blob/daa03542df67683ddbfaa3193d9f567659b1961d/README.md",
 "file_evidence": "https://huggingface.co/datasets/reffdfr/matterport3d/tree/daa03542df67683ddbfaa3193d9f567659b1961d",
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}