Synthetic dataset generation for object-to-model deep learning in industrial applications

The availability of large image data sets has been a crucial factor in the success of deep learning-based classification and detection methods. Yet, while data sets for everyday objects are widely available, data for specific industrial use-cases (e.g., identifying packaged products in a warehouse)...

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Detalles Bibliográficos
Autores principales: Wong, Matthew Z., Kunii, Kiyohito, Baylis, Max, Ong, Wai Hong, Kroupa, Pavel, Koller, Swen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2019
Materias:
Computer Vision
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7924434/
https://www.ncbi.nlm.nih.gov/pubmed/33816875
http://dx.doi.org/10.7717/peerj-cs.222

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7924434/
https://www.ncbi.nlm.nih.gov/pubmed/33816875
http://dx.doi.org/10.7717/peerj-cs.222

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