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Author

Adem Dilbaz

2 papers indexed here

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Open access Sep 2026

YOLOv10 and RT-DETR for Weld Defect Detection: Experimental Evaluation

Automated weld defect inspection is essential for improving product quality, reducing inspection costs, and minimizing human error in industrial manufacturing. Although deep learning-based object detectors have demonstrated promising performance, comprehensive comparisons under identical experimental conditions remain...

Adem Dilbaz · 0 citations
Open access Aug 2026

YOLO12 and YOLO13 for Steel Surface Defect Detection: Experimental Evaluation

Intelligent inspection and defect detection of steel surfaces are essential for ensuring product quality, minimizing production losses, and supporting quality control in modern manufacturing systems. In particular, the identification of defects on steel plates is an important step, as surface imperfections can signific...

Adem Dilbaz · 0 citations

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