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

Abbas S, Shawon MTI, Qamar S, Adeel M

DOI: 10.3390/s26165113
Published: 2026 Aug 12
Container: Sensors (Basel, Switzerland)
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3390/s26165113,
  title = {Evaluating YOLO26s for Multi-Class Pavement Crack Detection: A Lightweight Approach for Sustainable Edge Deployment.},
  author = {Abbas S and Shawon MTI and Qamar S and Adeel M},
  year = {2026},
  journal = {Sensors (Basel, Switzerland)},
  doi = {10.3390/s26165113},
  url = {https://doi.org/10.3390/s26165113}
}

RIS

TY  - JOUR
TI  - Evaluating YOLO26s for Multi-Class Pavement Crack Detection: A Lightweight Approach for Sustainable Edge Deployment.
AU  - Abbas S
AU  - Shawon MTI
AU  - Qamar S
AU  - Adeel M
PY  - 2026
JO  - Sensors (Basel, Switzerland)
DO  - 10.3390/s26165113
UR  - https://doi.org/10.3390/s26165113
ER  -

APA

S, A., MTI, S., S, Q., & M, A. (2026). Evaluating YOLO26s for Multi-Class Pavement Crack Detection: A Lightweight Approach for Sustainable Edge Deployment.. Sensors (Basel, Switzerland). https://doi.org/10.3390/s26165113

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pubmed · retrieved 2026-09-27T07:26:23.419Z