Multi-Seed Robustness Benchmark of Lightweight YOLO Models for Young Crescent Moon Detection under Limited-Data Conditions

Visual observation of the young crescent moon is challenging due to its thin and low-contrast appearance. Although YOLO-based object detectors are promising for image-based crescent localization, newer architectures do not automatically generalize well to small grayscale datasets, and prior studies...

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Bibliografische gegevens

Hoofdauteurs:	Bayu Krisna Murti, Kartika Firdausy, Murinto
Formaat:	Artigo
Taal:	Inglês
Gepubliceerd in:	Asosiasi Doktor Sistem Informasi Indonesia 2026-06-01
Reeks:	Journal of Information Systems and Informatics
Onderwerpen:	young crescent moon detection lightweight object detection YOLO benchmark multi-seed reproducibility CPU inference
Online toegang:	https://journal-isi.org/index.php/isi/article/view/1653
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