Machine learning for stone artifact identification: Distinguishing worked stone artifacts from natural clasts using deep neural networks

Stone artifacts are often the most abundant class of objects found in archaeological sites but their consistent identification is limited by the number of experienced analysts available. We report a machine learning based technology for stone artifact identification as part of a solution to the lack...

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Detalles Bibliográficos
Autores principales: Emmitt, Joshua, Masoud-Ansari, Sina, Phillipps, Rebecca, Middleton, Stacey, Graydon, Jennifer, Holdaway, Simon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9365149/
https://www.ncbi.nlm.nih.gov/pubmed/35947537
http://dx.doi.org/10.1371/journal.pone.0271582

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9365149/
https://www.ncbi.nlm.nih.gov/pubmed/35947537
http://dx.doi.org/10.1371/journal.pone.0271582

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