Automatic identification and morphological comparison of bivalve and brachiopod fossils based on dee...
Automatic identification and morphological comparison of bivalve and brachiopod fossils based on deep learning
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Publisher
San Diego, USA: PeerJ. Ltd
Journal title
Language
English
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Publisher
San Diego, USA: PeerJ. Ltd
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Contents
Fossil identification is an essential and fundamental task for conducting palaeontological research. Because the manual identification of fossils requires extensive experience and is time-consuming, automatic identification methods are proposed. However, these studies are limited to a few or dozens of species, which is hardly adequate for the needs...
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Full title
Automatic identification and morphological comparison of bivalve and brachiopod fossils based on deep learning
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TN_cdi_doaj_primary_oai_doaj_org_article_cbd1ff7755894771b2d7c6a5b87fad90
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_cbd1ff7755894771b2d7c6a5b87fad90
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ISSN
2167-8359
E-ISSN
2167-8359
DOI
10.7717/peerj.16200
