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Keywords: YOLOv12n
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Journal Articles
Muhammad Sibtain, Liang Han, Danaish, Mohammad Abbas Baig, Abbas Raza, Mohammed Ali Abdulrahman Al-Shameri, Arfan Ali Mohammed Qasem, Muhammad Mubashir Niaz, Ahmed Sharif Shaybo, Almogdad Hassan
Industrial Robot 1–16.
Published: 23 September 2026
.... Findings The selected YOLOv12n detection model revealed the best balance between computational efficiency and detection accuracy, resulting an mAP@0.5 of 0.82810 and the best mAP@0.5:0.95 of 0.56671, at 6.48 GFLOPs and an onboard inference latency of 0.01463 s. Experimental evaluation showed the stable...
Includes: Multimedia, Supplementary data
