PLAD and InsPLAD
These are complementary datasets in a progression: PLAD provides multi-size power line asset detection training data from UAV imagery, while InsPLAD extends this work with inspection-specific annotations, allowing models trained on one to be evaluated or fine-tuned on the other for improved real-world deployment scenarios.
About PLAD
andreluizbvs/PLAD
STN PLAD: A Dataset for Multi-Size Power Line Assets Detection in High-Resolution UAV Images
This dataset helps power line companies enhance the safety and efficiency of their infrastructure inspections. It provides high-resolution drone images of power lines with detailed annotations of critical components. Electrical engineers, maintenance managers, and inspection specialists can use this data to train AI systems for automated defect detection.
About InsPLAD
andreluizbvs/InsPLAD
Inspection of Power Line Assets Dataset (InsPLAD)
This dataset helps power utility companies automate the visual inspection of overhead power lines to prevent outages. It takes high-resolution drone images of power line components and identifies specific assets and their defects, such as corrosion or bird nests. This is for operations managers and field engineers who need to quickly assess the condition of critical infrastructure and prioritize maintenance.
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