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Research on improved algorithm for helmet detection based on YOLOv5

The continuous development of smart industrial parks has imposed increasingly stringent requirements on safety helmet detection in environments such as factories, construction sites, rail transit, and fire protection. Current models often suffer from issues like false alarms or missed detections, es...

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Detalles Bibliográficos
Autores principales: Shan, Chun, Liu, HongMing, Yu, Yu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10593779/
https://www.ncbi.nlm.nih.gov/pubmed/37872253
http://dx.doi.org/10.1038/s41598-023-45383-x