| DC Field | Value | Language |
|---|
| dc.contributor.author | Wang, W. Q. | - |
| dc.contributor.author | Zhang, X. | - |
| dc.coverage.spatial | Минск | en_US |
| dc.date.accessioned | 2025-09-08T07:00:01Z | - |
| dc.date.available | 2025-09-08T07:00:01Z | - |
| dc.date.issued | 2025 | - |
| dc.identifier.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. | en_US |
| dc.identifier.uri | https://libeldoc.bsuir.by/handle/123456789/61473 | - |
| dc.description.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. | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | БГУИР | en_US |
| dc.subject | материалы конференций | en_US |
| dc.subject | target detection | en_US |
| dc.subject | performance | en_US |
| dc.subject | images | en_US |
| dc.title | Comparison of YOLOv12 and YOLOv11 in sar image ship detection | en_US |
| Appears in Collections: | Информационная безопасность : материалы 61-й научной конференции аспирантов, магистрантов и студентов (2025)
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