Toward a Public Dataset of Wide-Field Astronomical Images Captured with Smartphones

Olivier Parisot; Diogo Fernandes

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Paper

Toward a Public Dataset of Wide-Field Astronomical Images Captured with Smartphones

Topics: Computer Vision; Machine Learning for Large Datasets

In Proceedings of the 14th International Conference on Data Science, Technology and Applications - Volume 1: DATA, 644-650, 2025 , Bilbao, Spain

Authors: Olivier Parisot and Diogo Ramalho Fernandes

Affiliation: Luxembourg Institute of Science and Technology (LIST), 5 Avenue des Hauts-Fourneaux, 4362 Esch-sur-Alzette, Luxembourg

Keyword(s): Smartphone, Astronomy, Deep Learning.

Abstract: Smartphone photography has improved considerably over the years, particularly in low-light conditions. Thanks to better sensors, advanced noise reduction and night modes, smartphones can now capture detailed wide-field astronomical images, from the Moon to deep sky objects. These innovations have transformed them into pocket telescopes, making astrophotography more accessible than ever. In this paper, we present AstroSmartphoneDataset, a dataset of wide-field astronomical images collected since 2021 with various smartphones, and we show how we have used these images to train Deep Learning models for trails detection.

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Paper citation in several formats:

Parisot, O., Fernandes and D. R. (2025). Toward a Public Dataset of Wide-Field Astronomical Images Captured with Smartphones. In Proceedings of the 14th International Conference on Data Science, Technology and Applications - Volume 1: DATA; ISBN 978-989-758-758-0; ISSN 2184-285X, SciTePress, pages 644-650. DOI: 10.5220/0013642300003967

@conference{data25,
author={Olivier Parisot and Diogo Ramalho Fernandes},
title={Toward a Public Dataset of Wide-Field Astronomical Images Captured with Smartphones},
booktitle={Proceedings of the 14th International Conference on Data Science, Technology and Applications - Volume 1: DATA},
year={2025},
pages={644-650},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013642300003967},
isbn={978-989-758-758-0},
issn={2184-285X},
}

TY - CONF

JO - Proceedings of the 14th International Conference on Data Science, Technology and Applications - Volume 1: DATA
TI - Toward a Public Dataset of Wide-Field Astronomical Images Captured with Smartphones
SN - 978-989-758-758-0
IS - 2184-285X
AU - Parisot, O.
AU - Fernandes, D.
PY - 2025
SP - 644
EP - 650
DO - 10.5220/0013642300003967
PB - SciTePress