Tuning of data augmentation hyperparameters in deep learning to building construction image classification with small datasets

Deep Learning methods have important applications in the building construction image classification field. One challenge of this application is Convolutional Neural Networks adoption in a small datasets. This paper proposes a rigorous methodology for tuning of Data Augmentation hyperparameters in De...

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Detalles Bibliográficos
Autores principales: Ottoni, André Luiz C., de Amorim, Raphael M., Novo, Marcela S., Costa, Dayana B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9005628/
https://www.ncbi.nlm.nih.gov/pubmed/35432624
http://dx.doi.org/10.1007/s13042-022-01555-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9005628/
https://www.ncbi.nlm.nih.gov/pubmed/35432624
http://dx.doi.org/10.1007/s13042-022-01555-1

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