Benchmarking Deep Learning-Based Object Detection Models on Feature Deficient Astrophotography Imagery Dataset

Shantanusinh Parmar

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arXiv · 2508.06537

Benchmarking Deep Learning-Based Object Detection Models on Feature Deficient Astrophotography Imagery Dataset

Shantanusinh Parmar

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Abstract

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.

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Shantanusinh Parmar. 2025-08-04. Benchmarking Deep Learning-Based Object Detection Models on Feature Deficient Astrophotography Imagery Dataset. https://arxiv.org/abs/2508.06537

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