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  1. .gitattributes +1 -1
  2. README.md +51 -3
  3. eth3d/courtyard.zip +3 -0
  4. eth3d/delivery_area.zip +3 -0
  5. eth3d/electro.zip +3 -0
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.gitattributes CHANGED
@@ -56,4 +56,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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  *.webp filter=lfs diff=lfs merge=lfs -text
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  # Video files - compressed
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  *.mp4 filter=lfs diff=lfs merge=lfs -text
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- *.webm filter=lfs diff=lfs merge=lfs -text
 
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  *.webp filter=lfs diff=lfs merge=lfs -text
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  # Video files - compressed
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  *.mp4 filter=lfs diff=lfs merge=lfs -text
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@@ -1,3 +1,51 @@
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- ---
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- license: apache-2.0
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ license: apache-2.0
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+ task_categories:
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+ - image-to-3d
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+ - depth-estimation
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+ language:
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+ - en
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+ tags:
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+ - computer-vision
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+ - 3d-reconstruction
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+ - multi-view-stereo
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+ - depth-estimation
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+ - camera-pose
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+ - covisibility
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+ - mapanything
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+ - benchmarking
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+ pretty_name: MapAnything Benchmarking Dataset
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+ size_categories:
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+ - 100B<n<1T
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+ ---
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+
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+ # MapAnything Benchmarking Dataset
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+
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+ ## Dataset Description
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+
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+ 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).
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+
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+ Please see our [Data Processing README](https://github.com/facebookresearch/map-anything/data_processing/README.md) for more details.
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+
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+ ## Citation
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+
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+ If you use this dataset in your research, please cite our paper:
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+
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+ ```bibtex
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+ @inproceedings{keetha2026mapanything,
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+ title={{MapAnything}: Universal Feed-Forward Metric {3D} Reconstruction},
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+ 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},
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+ booktitle={International Conference on 3D Vision (3DV)},
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+ year={2026},
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+ organization={IEEE}
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+ }
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+ ```
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+
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+ ## License
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+
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+ The data is released under the [Apache 2.0 License](https://github.com/facebookresearch/map-anything/LICENSE).
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+
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+ ## Links
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+
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+ - 🏠 **Project Page**: [https://map-anything.github.io](https://map-anything.github.io)
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+ - 💻 **Code**: [GitHub Repository](https://github.com/facebookresearch/map-anything)
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