Dataset for detecting motorcyclists in pedestrian areas

This paper presents a semi-automated, scalable, and homologous methodology towards IoT implemented in Python for extracting and integrating images in pedestrian and motorcyclist areas on the road for constructing a multiclass object classifier. It consists of two stages. The first stage deals with c...

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Detalles Bibliográficos
Autores principales: Díaz, Nicolás Hernández, Peñaloza, Yersica C., Rios, Y. Yuliana, Martinez-Santos, Juan Carlos, Puertas, Edwin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Data Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10558723/
https://www.ncbi.nlm.nih.gov/pubmed/37808538
http://dx.doi.org/10.1016/j.dib.2023.109610

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10558723/
https://www.ncbi.nlm.nih.gov/pubmed/37808538
http://dx.doi.org/10.1016/j.dib.2023.109610

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