Automatic annotation and performance evaluation of orchard pear fruit using SAM-based zero-shot segmentation

High-quality annotated data are essential for training high-performance models; therefore, the automatic annotation of instance segmentation training datasets helps improve model development efficiency and reduce development costs. In this study, the Segment Anything Model (SAM) and its variants, Se...

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主要な著者:	Xiaole Wang, Xuan lv, Xin Xing, Xingchen Qiao, Yu Yang, Kuangyan Zhang, Yujie Liu, Yuang Yang, Yichen Yang, Bowen Luo, Tianze Ji, Xinran Li, Weiyue Xu, Junxian Sun, Yan Zou, Yangyang Liu, Yang Yang, Zhenchao Wu, Liqing Chen
フォーマット:	Artigo
言語:	Inglês
出版事項:	Elsevier 2026-03-01
シリーズ:	Smart Agricultural Technology
主題:	Automatic annotation Pear SAM Zero-Shot
オンライン･アクセス:	http://www.sciencedirect.com/science/article/pii/S277237552600050X
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