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

Olivier Parisot, Diogo Ramalho Fernandes

2025

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.

Paper Citation

in Harvard Style

Parisot O. and Fernandes D. (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, SciTePress, pages 644-650. DOI: 10.5220/0013642300003967

in Bibtex Style

@conference{data25,
author={Olivier Parisot and Diogo 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},
}

in EndNote Style

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
AU - Parisot O.
AU - Fernandes D.
PY - 2025
SP - 644
EP - 650
DO - 10.5220/0013642300003967
PB - SciTePress