New interactive machine learning tool for marine image analysis.
RootPainter
automated area measurement
benthic ecology
computer vision
interactive machine learning
marine image analysis
Journal
Royal Society open science
ISSN: 2054-5703
Titre abrégé: R Soc Open Sci
Pays: England
ID NLM: 101647528
Informations de publication
Date de publication:
May 2024
May 2024
Historique:
received:
03
11
2023
revised:
28
03
2024
accepted:
02
04
2024
medline:
19
8
2024
pubmed:
19
8
2024
entrez:
19
8
2024
Statut:
epublish
Résumé
Advancing imaging technologies are drastically increasing the rate of marine video and image data collection. Often these datasets are not analysed to their full potential as extracting information for multiple species is incredibly time-consuming. This study demonstrates the capability of the open-source interactive machine learning tool, RootPainter, to analyse large marine image datasets quickly and accurately. The ability of RootPainter to extract the presence and surface area of the cold-water coral reef associate sponge species,
Identifiants
pubmed: 39157716
doi: 10.1098/rsos.231678
pii: rsos231678
pmc: PMC11328963
doi:
Banques de données
figshare
['10.6084/m9.figshare.c.7184015']
Types de publication
Journal Article
Langues
eng
Pagination
231678Informations de copyright
© 2024 The Authors.
Déclaration de conflit d'intérêts
We declare we have no competing interests.