This page provides access to the dataset associated with our ECCV 2026 paper "Leaving the City: A Large-Scale Aerial Dataset for Cross-Season Localization in Unstructured Environments".
The LTC dataset is licensed under the Creative Commons Attribution 4.0 International License (CC BY 4.0), © 2026 Fraunhofer-Gesellschaft zur Förderung der angewandten Forschung e.V., represented by Fraunhofer FKIE. See LICENSE.txt.
The land-cover masks are derived from CORINE Land Cover 5 ha, 2018 (CLC5-2018): © GeoBasis-DE / BKG (2025), dl-de/by-2-0; modified: rasterized into masks aligned with the camera images.
Tools for working with the dataset: pygeon.
If you use the dataset, please cite:
@inproceedings{schleiss2026leaving,
title={Leaving the City: A Large-Scale Aerial Dataset for Cross-Season Localization in Unstructured Environments},
author={Schleiss, Michael and H{\"o}lzemann, Henry and Rouatbi, Fahmi and Fiolka, Torsten and Pany, Thomas and F{\"o}rstner, Roger and Cremers, Daniel},
booktitle={European Conference on Computer Vision},
pages={96--113},
year={2026},
organization={Springer}
}
This page also hosts the full dataset associated with our paper "VPAIR – Aerial Visual Place Recognition and Localization in Large-scale Outdoor Environments". See also github.com/AerVisLoc/vpair.
The VPAIR dataset is for academic use only. Commercial use is prohibited. It is not covered by the CC BY 4.0 license of LTC above. See vpair/License.txt.
If you use the dataset, please cite:
@article{schleiss2022vpair,
title={VPAIR-Aerial Visual Place Recognition and Localization in Large-scale Outdoor Environments},
author={Schleiss, Michael and Rouatbi, Fahmi and Cremers, Daniel},
journal={arXiv preprint arXiv:2205.11567},
year={2022}
}