Multiclass Image Classification Using GANs and CNN Based on Holes Drilled in Laminated Chipboard

The multiclass prediction approach to the problem of recognizing the state of the drill by classifying images of drilled holes into three classes is presented. Expert judgement was made on the basis of the quality of the hole, by dividing the collected photographs into the classes: “very fine,” “acc...

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Detalles Bibliográficos
Autores principales: Wieczorek, Grzegorz, Chlebus, Marcin, Gajda, Janusz, Chyrowicz, Katarzyna, Kontna, Kamila, Korycki, Michał, Jegorowa, Albina, Kruk, Michał
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8659545/
https://www.ncbi.nlm.nih.gov/pubmed/34884080
http://dx.doi.org/10.3390/s21238077

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8659545/
https://www.ncbi.nlm.nih.gov/pubmed/34884080
http://dx.doi.org/10.3390/s21238077

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