IMCVApr 30

An Extended Evaluation Split for DeepSpaceYoloDataset

arXiv:2604.275934.8
AI Analysis

This is an incremental dataset update for researchers working on deep sky object detection with smart telescopes.

The authors updated the DeepSpaceYoloDataset by adding a new test split (test2026) to improve evaluation diversity for YOLO-based deep sky object detection models.

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.

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