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Article

Recognizability bias in citizen science photographs

2022-06-29

Abstract excerpt

Citizen science initiatives and automated collection methods increasingly depend on image recognition in order to provide the amounts of observational data research and management needs. Training recognition models, meanwhile, also requires large amounts of data from these sources, creating a feedback loop between the methods and the tools. Species that are harder to recognize, both for humans and machine learning...

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Identifiers and source

Literature Corpus work
bacdf135-2f3c-549c-8e58-c71dc10c7ceb
DOI
10.1101/2022.06.25.497604
Open publication

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Recognizability bias in citizen science photographsDOI 10.1101/2022.06.25.497604
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