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Three critical factors affecting automated image species recognition performance for camera traps

Three critical factors affecting automated image species recognition performance for camera traps

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_fd7d1e80bb3941178507ba0f0a98048b

Three critical factors affecting automated image species recognition performance for camera traps

About this item

Full title

Three critical factors affecting automated image species recognition performance for camera traps

Publisher

England: John Wiley & Sons, Inc

Journal title

Ecology and evolution, 2020-04, Vol.10 (7), p.3503-3517

Language

English

Formats

Publication information

Publisher

England: John Wiley & Sons, Inc

More information

Scope and Contents

Contents

Ecological camera traps are increasingly used by wildlife biologists to unobtrusively monitor an ecosystems animal population. However, manual inspection of the images produced is expensive, laborious, and time‐consuming. The success of deep learning systems using camera trap images has been previously explored in preliminary stages. These studies,...

Alternative Titles

Full title

Three critical factors affecting automated image species recognition performance for camera traps

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_fd7d1e80bb3941178507ba0f0a98048b

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_fd7d1e80bb3941178507ba0f0a98048b

Other Identifiers

ISSN

2045-7758

E-ISSN

2045-7758

DOI

10.1002/ece3.6147

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