An Extended Evaluation Split for DeepSpaceYoloDataset
Recent technological advances in astronomy, particularly the growing popularity of smart telescopes for the general public, make it possible to develop highly effective detection solutions that are accessible to a wide audience, rather than being reserved for major scientific observatories. Published in 2023, DeepSpaceYoloDataset is a collection of annotated images created to train YOLO-based models for detecting Deep Sky Objects, particularly suited for Electronically Assisted Astronomy. In this paper, we present an update to DeepSpaceYoloDataset with the addition of a new split, test2026, designed to evaluate detection models with a greater diversity of images.
| Authors | Olivier Parisot |
|---|---|
| Primary category | astro-ph.IM |
| Published | 30 April 2026 |
| Last updated at source | 30 April 2026 |
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