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Saqib Qamar

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Open access Aug 2026

Evaluating YOLO26s for Multi-Class Pavement Crack Detection: A Lightweight Approach for Sustainable Edge Deployment

This study presents YOLO26s, a lightweight DL model for multi-class pavement crack detection across diverse environmental and geographic conditions, and highlights the potential of efficient AI-driven inspection systems to enhance environmental and economic sustainability in civil infrastructure.

S. Abbas, Md. Najmul Islam Shawon, Saqib Qamar et al. · 0 citations

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