A human–AI collaboration workflow for archaeological sites detection

This paper illustrates the results obtained by using pre-trained semantic segmentation deep learning models for the detection of archaeological sites within the Mesopotamian floodplains environment. The models were fine-tuned using openly available satellite imagery and vector shapes coming from a l...

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Detalles Bibliográficos
Autores principales: Casini, Luca, Marchetti, Nicolò, Montanucci, Andrea, Orrù, Valentina, Roccetti, Marco
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10227033/
https://www.ncbi.nlm.nih.gov/pubmed/37248310
http://dx.doi.org/10.1038/s41598-023-36015-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10227033/
https://www.ncbi.nlm.nih.gov/pubmed/37248310
http://dx.doi.org/10.1038/s41598-023-36015-5

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