New Interactive Machine Learning Tool for Marine Image Analysis

We would like to thank the Lofoten Vesterålen Ocean Observatory, and specifically Geir Pedersen,for supplying much of the data used in this study. We would also like to express gratitude to the insightfulcomments made during the review of this manuscript and the efforts of the editorial team during...

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Bibliographic Details
Published in:Royal Society Open Science
Main Authors: Clark, Hannah Poppy, Smith, Abraham George, McKay Fletcher, Daniel, Larsson, Ann, Jaspars, Marcel, De Clippele , Laurence H
Other Authors: University of Aberdeen.Natural & Computing Sciences, University of Aberdeen.Chemistry
Format: Article in Journal/Newspaper
Language:English
Published: 2024
Subjects:
SDG 14 - Life Below Water
marine image analysis
interactive machine learning
automated area measurement
RootPainter
benthic ecology
computer vision
Q Science
Biotechnology and Biological Sciences Research Council (BBSRC)
EASTBIO
BB/M010996/1
European Research Council
818123
Rural and Environmental Science and Analytical Services (RESAS)
SRUC-C5-1
Q
Lofoten
Pedersen
Vesterålen
Online Access:https://hdl.handle.net/2164/23657
https://doi.org/10.1098/rsos.231678
Description
Summary:We would like to thank the Lofoten Vesterålen Ocean Observatory, and specifically Geir Pedersen,for supplying much of the data used in this study. We would also like to express gratitude to the insightfulcomments made during the review of this manuscript and the efforts of the editorial team during its publication. Peer reviewed

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