Detecting Broken Glass Insulators for Automated UAV Power Line Inspection Based on an Improved YOLOv8 Model
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Updated
Sep 22, 2024
Detecting Broken Glass Insulators for Automated UAV Power Line Inspection Based on an Improved YOLOv8 Model
A Multitask YOLO Model for Simultaneous Cable Segmenta-tion and Broken Strands Detection. Keywords: Multitask learning; Anomaly detection; Cable segmentation; Improved YOLO; UAV power line inspection; Computer vision;
APF-YOLOV8: Enhancing Multiscale Detection and Intra-Class Variance Handling for UAV-Based Insulator Power Line Inspections
UAV Power Line Inspection, Automated anomaly identification, Real time Object detection algorithms, Improved YOLOV8, Simulated weather conditions, Domain Generalization, Computer Vision.
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