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YOLO-SAM AgriScan: A Unified Framework for Ripe Strawberry Detection and Segmentation with Few-Shot and Zero-Shot Learning

Traditional segmentation methods are slow and rely on manual annotations, which are labor-intensive. To address these limitations, we propose YOLO-SAM AgriScan, a unified framework that combines the fast object detection capabilities of YOLOv11 with the zero-shot segmentation power of the Segment An...

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Bibliografiske detaljer
Principais autores: Partho Ghose, Al Bashir, Yibin Wang, Cristian Bua, Azlan Zahid
Format: Artigo
Sprog:Inglês
Udgivet: MDPI AG 2025-12-01
Serier:Sensors
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Online adgang:https://www.mdpi.com/1424-8220/25/24/7678
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