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MPID : an open-source insulator dataset for UAV inspection of power lines through computer vision
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;
Broken Glass Insulator Dataset for UAV inspection of power lines
Vietnamese Public Merged dataset for Broken Glass Insulator
IDID_Weather: an open-source insulator dataset for UAV inspection of power lines through computer vision in bad weather conditions
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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