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Please use this identifier to cite or link to this item: https://libeldoc.bsuir.by/handle/123456789/61473
Title: Comparison of YOLOv12 and YOLOv11 in sar image ship detection
Authors: Wang, W. Q.
Zhang, X.
Keywords: материалы конференций;target detection;performance;images
Issue Date: 2025
Publisher: БГУИР
Citation: Wang, W. Q. Comparison of YOLOv12 and YOLOv11 in sar image ship detection / W. Q. Wang, X. Zhang // Информационная безопасность : сборник материалов 61-й научной конференции аспирантов, магистрантов и студентов БГУИР, Минск, 21–25 апреля 2025 г. / Белорусский государственный университет информатики и радиоэлектроники. – Минск, 2025. – С. 96–98.
Abstract: This study evaluates the performance of YOLOvl2 in SARimage target detection compared to YOLOv11. Experimental results demonstrate that YOLOvl2 outperforms YOLOv11 in detection accuracy (mAP50 and mAP50-95), small target detection, and complex background processing, exhibiting faster training convergence and stronger generalization ability. The study validatesthe advantages of Y0L0vl2 in SAR image target detection.
URI: https://libeldoc.bsuir.by/handle/123456789/61473
Appears in Collections:Информационная безопасность : материалы 61-й научной конференции аспирантов, магистрантов и студентов (2025)

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