Inspection of Power Line Assets Dataset (InsPLAD)

STN PLAD: A Dataset for Multi-Size Power Line Assets Detection in High-Resolution UAV Images

MPID : an open-source insulator dataset for UAV inspection of power lines through computer vision

基于YOLOv5网络的输配电线路绝缘子故障检测模型研究

Detecting Broken Glass Insulators for Automated UAV Power Line Inspection Based on an Improved YOLOv8 Model

Vietnamese Public Merged dataset for Broken Glass Insulator

UAV Power Line Inspection, Automated anomaly identification, Real time Object detection algorithms, Improved YOLOV8, Simulated weather conditions, Domain Generalization, Computer Vision.

This repository contains the complete pipeline for an edge-deployable computer vision model designed to analyze images and detect insulator defects. The model is trained to be lightweight and optimized, ensuring it runs efficiently on edge devices like the Nvidia Jetson Nano.

🔍 Inspect and analyze power system data efficiently to enhance performance and reliability in energy management.