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A real-time rural domestic garbage detection algorithm with an improved YOLOv5s network model
An increasing number of researchers are using deep learning technology to classify and process garbage in rural areas, and have achieved certain results. However, the existing garbage detection models still have problems such as high complexity, missed detection of small targets, low detection accur...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9540284/ https://www.ncbi.nlm.nih.gov/pubmed/36207371 http://dx.doi.org/10.1038/s41598-022-20983-1 |