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Computational Metadata Generation Methods for Biological Specimen Image Collections

2022-04-27

Abstract excerpt

<title>Abstract</title> <p>Metadata is a key data source for researchers seeking to apply machine learning (ML) to the vast collections of digitized biological specimens that can be found online. Unfortunately, the available metadata is often sparse and, at times, erroneous. This paper extends previous research with the Illinois Natural History Survey (INHS) collection (7,244 specimen images) using computational...

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Literature Corpus work
baefdd60-81fe-5f93-bdbd-2819c067cd03
DOI
10.21203/rs.3.rs-1506561/v1
Open publication

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Computational Metadata Generation Methods for Biological Specimen Image CollectionsDOI 10.21203/rs.3.rs-1506561/v1
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