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---
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](https://github.com/facebookresearch/map-anything).
Please see our [Data Processing README](https://github.com/facebookresearch/map-anything/data_processing/README.md) for more details.
## Citation
If you use this dataset in your research, please cite our paper:
```bibtex
@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](https://github.com/facebookresearch/map-anything/LICENSE).
## Links
- 🏠 **Project Page**: [https://map-anything.github.io](https://map-anything.github.io)
- 💻 **Code**: [GitHub Repository](https://github.com/facebookresearch/map-anything) |