Datasets:

facebook
/

map-anything-benchmarking

license: apache-2.0
task_categories:
  - image-to-3d
  - depth-estimation
language:
  - en
tags:
  - computer-vision
  - 3d-reconstruction
  - multi-view-stereo
  - depth-estimation
  - camera-pose
  - covisibility
  - mapanything
  - benchmarking
pretty_name: MapAnything Benchmarking Dataset
size_categories:
  - 100B<n<1T

MapAnything Benchmarking Dataset

Dataset Description

This dataset contains the WAI format data used for benchmarking feed-forward 3D reconstruction models in the MapAnything codebase.

Please see our Data Processing README for more details.

Citation

If you use this dataset in your research, please cite our paper:

@inproceedings{keetha2026mapanything,
  title={{MapAnything}: Universal Feed-Forward Metric {3D} Reconstruction},
  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},
  booktitle={International Conference on 3D Vision (3DV)},
  year={2026},
  organization={IEEE}
}

License

The data is released under the Apache 2.0 License.

MapAnything Benchmarking Dataset

Dataset Description

Citation

License

Links