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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...
Autores principales: | Shan, Chun, Liu, HongMing, Yu, Yu |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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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 |
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