Automatic detection and classification of manufacturing defects in metal boxes using deep neural networks

• Oumayma Essid,

  Roles Methodology, Software, Writing – original draft, Writing – review & editing

  Affiliation CNRS LIMOS UMR 6158, University of Clermont Auvergne, France

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• Hamid Laga,

  Roles Methodology, Supervision, Writing – original draft, Writing – review & editing

  Affiliations School of Engineering and Information Technology, Murdoch University, Perth, Australia, Phenomics and Bioinformatics Research Centre, University of South Australia, Australia

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• Chafik Samir

  Roles Methodology, Supervision, Writing – original draft, Writing – review & editing

  * E-mail: chafik.samir@uca.fr

  Affiliation CNRS LIMOS UMR 6158, University of Clermont Auvergne, France

  http://orcid.org/0000-0003-0619-5040

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