An enhanced YOLOv8n object detector for synthetic diamond quality evaluation

Abstract To address the need for automated sorting of synthetic diamonds based on quality in manufacturing enterprises, this study developed a dedicated dataset and an enhanced YOLOv8n model for synthetic diamonds detection and quality evaluation, named YOLOv8n-adamas. We redesigned the backbone net...

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Bibliographic Details
Main Authors: Shixiong Zhang, Ang Li, Jianxin Ren, Xingchong Li
Format: Article
Language:English
Published: Nature Portfolio 2024-11-01
Series:Scientific Reports
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Online Access:https://doi.org/10.1038/s41598-024-79549-y
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