Benchmarking Deep Learning-Based Object Detection Models on Feature Deficient Astrophotography Imagery Dataset
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Abstract (arXiv)
Object detection models are typically trained on datasets like ImageNet, COCO, and PASCAL VOC, which focus on everyday objects. However, these lack signal sparsity found in non-commercial domains. MobilTelesco, a smartphone-based astrophotography dataset, addresses this by providing sparse night-sky images. We benchmark several detection models on it, highlighting challenges under feature-deficient conditions.
Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 15 of its 34 references that are in the map. First posted on arXiv 4 Aug 2025.
Builds on
15 of 34 references.
References · 15
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3 more
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Citing papers per year: 2025: 1.
1 paper.