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Un marco ligero de segmentación YOLO11n para la detección de grietas superficiales en tiempo real con segmentación
Shweta Tiwari1, Kamal Kumar Gola2, Rohit Kanauzia3
1Department of Computer Science and Engineering, Chandigarh University, Mohali, India. shweta.tiwari2006@gmail.com.
Scientific reports
|January 29, 2026
Resumen
Este estudio presenta un modelo ligero de aprendizaje profundo para la detección de grietas superficiales en infraestructuras. El modelo YOLO11n-seg ofrece un reconocimiento de grietas rápido y preciso, estableciendo un nuevo punto de referencia para los sistemas de inspección automatizados.
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