Attention-enhanced YOLOv8s advances photovoltaic defect detection
AMA-YOLOv8s reached 93.5% mAP@0.5 in a dataset-based evaluation of photovoltaic defect detection.
AMA-YOLOv8s reached 93.5% mAP@0.5 in a dataset-based evaluation of photovoltaic defect detection.
A UAV-assisted system using specialized YOLOv8s detectors achieved 85% accuracy for three photovoltaic fault categories in a held-out test set ...
Researchers combined YOLOv8s and Pix2Pix with ant colony and particle swarm optimization to stabilize wrinkle detection and realistic cosmetic skin ...
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© 2025 Scienmag - Science Magazine