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Improving Oil Palm Fruit Detection under Class Imbalance Using Class-Balanced Focal Loss on YOLOv11

Accurate detection of oil palm fruit maturity levels plays a crucial role in improving harvesting efficiency and maintaining the quality of palm oil production. In practice, this task remains challenging due to the presence of severe class imbalance in real-world field datasets, where certain classe...

Ausführliche Beschreibung

Gespeichert in:
Hauptverfasser: Adrian Suparto, Muhammad Rizky Pribadi
Format: Artigo
Sprache:Inglês
Veröffentlicht: LPPM ISB Atma Luhur 2026-04-01
Schriftenreihe:Jurnal Sisfokom
Schlagworte:
class imbalance
class-balanced focal loss
fresh fruit bunch
object detection
yolov11
Online-Zugang:https://jurnal.atmaluhur.ac.id/index.php/sisfokom/article/view/2568
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