OW-YOLO: An Improved YOLOv8s Lightweight Detection Method for Obstructed Walnuts
OW-YOLO: An Improved YOLOv8s Lightweight Detection Method for Obstructed Walnuts
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Publisher
Basel: MDPI AG
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Language
English
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Publisher
Basel: MDPI AG
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Contents
Walnut detection in mountainous and hilly regions often faces significant challenges due to obstructions, which adversely affect model performance. To address this issue, we collected a dataset comprising 2379 walnut images from these regions, with detailed annotations for both obstructed and non-obstructed walnuts. Based on this dataset, we propos...
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Full title
OW-YOLO: An Improved YOLOv8s Lightweight Detection Method for Obstructed Walnuts
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TN_cdi_doaj_primary_oai_doaj_org_article_d77ab9a1eae94ed3b37bcf435ccf0284
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_d77ab9a1eae94ed3b37bcf435ccf0284
Other Identifiers
ISSN
2077-0472
E-ISSN
2077-0472
DOI
10.3390/agriculture15020159
