A framework for assessing reliability of observer annotations of aerial wildlife imagery, with insights for deep learning applications

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Main Authors: Rowan L. Converse, Christopher D. Lippitt, Steven E. Sesnie, Grant M. Harris, Matthew J. Butler, David R. Stewart
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2025-01-01
Series:PLoS ONE
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11734989/?tool=EBI
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author Rowan L. Converse
Christopher D. Lippitt
Steven E. Sesnie
Grant M. Harris
Matthew J. Butler
David R. Stewart
author_facet Rowan L. Converse
Christopher D. Lippitt
Steven E. Sesnie
Grant M. Harris
Matthew J. Butler
David R. Stewart
author_sort Rowan L. Converse
collection DOAJ
format Article
id doaj-art-b7392c50471f45a29ee2a58b2ce6b2c5
institution Kabale University
issn 1932-6203
language English
publishDate 2025-01-01
publisher Public Library of Science (PLoS)
record_format Article
series PLoS ONE
spelling doaj-art-b7392c50471f45a29ee2a58b2ce6b2c52025-01-20T05:31:39ZengPublic Library of Science (PLoS)PLoS ONE1932-62032025-01-01201A framework for assessing reliability of observer annotations of aerial wildlife imagery, with insights for deep learning applicationsRowan L. ConverseChristopher D. LippittSteven E. SesnieGrant M. HarrisMatthew J. ButlerDavid R. Stewarthttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC11734989/?tool=EBI
spellingShingle Rowan L. Converse
Christopher D. Lippitt
Steven E. Sesnie
Grant M. Harris
Matthew J. Butler
David R. Stewart
A framework for assessing reliability of observer annotations of aerial wildlife imagery, with insights for deep learning applications
PLoS ONE
title A framework for assessing reliability of observer annotations of aerial wildlife imagery, with insights for deep learning applications
title_full A framework for assessing reliability of observer annotations of aerial wildlife imagery, with insights for deep learning applications
title_fullStr A framework for assessing reliability of observer annotations of aerial wildlife imagery, with insights for deep learning applications
title_full_unstemmed A framework for assessing reliability of observer annotations of aerial wildlife imagery, with insights for deep learning applications
title_short A framework for assessing reliability of observer annotations of aerial wildlife imagery, with insights for deep learning applications
title_sort framework for assessing reliability of observer annotations of aerial wildlife imagery with insights for deep learning applications
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11734989/?tool=EBI
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