10.48550/arXiv.2304.09704
https://zenodo.org/records/7820686
oai:zenodo.org:7820686
Romain Loiseau
Romain Loiseau
0000-0002-1804-0735
LIGM, Ecole des Ponts, Univ Gustave Eiffel, CNRS, France - LASTIG, Univ Gustave Eiffel, IGN, ENSG
Elliot Vincent
Elliot Vincent
LIGM, Ecole des Ponts, Univ Gustave Eiffel, CNRS, France - INRIA and DIENS (ENS-PSL, CNRS, INRIA)
Mathieu Aubry
Mathieu Aubry
0000-0002-3804-0193
LIGM, Ecole des Ponts, Univ Gustave Eiffel, CNRS, France
Loic Landrieu
Loic Landrieu
0000-0002-7738-8141
LIGM, Ecole des Ponts, Univ Gustave Eiffel, CNRS, France - LASTIG, Univ Gustave Eiffel, IGN, ENSG
Earth Parser Dataset: A new dataset to train and evaluate parsing methods on large, uncurated aerial LiDAR scans
Zenodo
2023
2023-04-19
https://zenodo.org/communities/eu
Creative Commons Attribution 4.0 International
We introduce a new dataset to train and evaluate parsing methods on large, uncurated aerial LiDAR scans. We use data from the French Mapping Agency associated to the LiDAR-HD project. We selected 7 scenes, covering over 7.7km2 and a total of 98 million 3D points, with diverse content and complexity, such as dense habitations, forests, or complex industrial facilities.
You can download sequences individually or use zenodo-get to download all sequences at once:
pip install zenodo-get
zenodo-get 7820686
See companion github repository and the dedicated wepage for more information.
Cite as:
@misc{loiseau2023learnable,
title={Learnable Earth Parser: Discovering 3D Prototypes in Aerial Scans},
author={Romain Loiseau and Elliot Vincent and Mathieu Aubry and Loic Landrieu},
year={2023},
eprint={2304.09704},
archivePrefix={arXiv},
primaryClass={cs.CV}
}
Acknowledgements :
This work was supported by ANR project READY3D ANR-19-CE23-0007.
The work of MA was partly supported by the European Research Council (ERC project DISCOVER, number 101076028).
The scenes of the Earth Parser Dataset were acquired and annotated by the LiDAR-HD project.
We thank Zenodo for hosting the dataset.
European Commission
10.13039/501100000780
101076028
Discovering and Analyzing Visual Structures
Agence Nationale de la Recherche
10.13039/501100001665
ANR-19-CE23-0007
Real-Time Analysis of Dynamic LiDAR 3D Point Clouds