Combining imperfect automated annotations of underwater images with human annotations to obtain precise and unbiased population estimates

Chang, Jui-Han; Hart, Deborah R.; Shank, Burton V.; Gallager, Scott M.; Honig, Peter; York, Amber D.

doi:10.1016/j.mio.2016.09.006

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The NOAA IR serves as an archival repository of NOAA-published products including scientific findings, journal articles, guidelines, recommendations, or other information authored or co-authored by NOAA or funded partners. As a repository, the NOAA IR retains documents in their original published format to ensure public access to scientific information.

i

Combining imperfect automated annotations of underwater images with human annotations to obtain precise and unbiased population estimates

2016
By Chang, Jui-Han ; Hart, Deborah R. ; Shank, Burton V. ; ...
Source: Methods in Oceanography, 17, 169-186

[PDF-1.06 MB]

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Journal Title:

Methods in Oceanography
Personal Author:

Chang, Jui-Han ; Hart, Deborah R. ; Shank, Burton V. ; Gallager, Scott M. ; Honig, Peter ; ... More +

Chang, Jui-Han ; Hart, Deborah R. ; Shank, Burton V. ; Gallager, Scott M. ; Honig, Peter ; York, Amber D. Less -
NOAA Program & Office:

NMFS (National Marine Fisheries Service) ; NEFSC (Northeast Fisheries Science Center)

NMFS (National Marine Fisheries Service) ; NEFSC (Northeast Fisheries Science Center) Less -
Keywords:

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Aquatic Science Ocean Engineering Oceanography
Source:

Methods in Oceanography, 17, 169-186
DOI:

https://doi.org/10.1016/j.mio.2016.09.006
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2211-1220
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PDF
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Elsevier BV
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Journal Article
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urn:sha256:92f9f7a5d4c5fbea8535552666d40c7f83dc0eefe4e1d13040c6f2cc5146fe79
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Combining imperfect automated annotations of underwater images with human annotations to obtain precise and unbiased population estimates

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