{
 "id": "facebook/map-anything-benchmarking",
 "owner": "facebook",
 "name": "map-anything-benchmarking",
 "downloads": 2451,
 "likes": 8,
 "last_modified": "2026-01-12T18:51:12.000Z",
 "stated_licence": "apache-2.0",
 "stated_from": "tag",
 "licence_name": null,
 "licence_link": null,
 "file_licence": null,
 "licence_files": [],
 "sources": [],
 "gated": false,
 "tasks": [
  "image-to-3d",
  "depth-estimation"
 ],
 "citation": "@inproceedings{keetha2026mapanything,\n  title={{MapAnything}: Universal Feed-Forward Metric {3D} Reconstruction},\n  author={Nikhil Keetha and Norman M\\\"{u}ller and Johannes Sch\\\"{o}nberger and Lorenzo Porzi and Yuchen Zhang and Tobias Fischer and Arno Knapitsch and Duncan Zauss and Ethan Weber and Nelson Antunes and Jonathon Luiten and Manuel Lopez-Antequera and Samuel Rota Bul\\`{o} and Christian Richardt and Deva Ramanan and Sebastian Scherer and Peter Kontschieder},\n  booktitle={International Conference on 3D Vision (3DV)},\n  year={2026},\n  organization={IEEE}\n}",
 "signal": "permissive",
 "reason": "The declared licence (apache-2.0) is classified as permissive.",
 "revision": "4e93cd6969ccf2a8836c2d256df5aaf2ffa91936",
 "stated_evidence": "https://huggingface.co/datasets/facebook/map-anything-benchmarking/blob/4e93cd6969ccf2a8836c2d256df5aaf2ffa91936/README.md",
 "file_evidence": "https://huggingface.co/datasets/facebook/map-anything-benchmarking/tree/4e93cd6969ccf2a8836c2d256df5aaf2ffa91936",
 "card_nc": false
}