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
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

231678

Informations de copyright

© 2024 The Authors.

Déclaration de conflit d'intérêts

We declare we have no competing interests.

Auteurs

H Poppy Clark (HP)

Marine Biodiscovery Centre, Department of Chemistry, University of Aberdeen, Aberdeen AB24 3UE, UK.

Abraham George Smith (AG)

Department of Computer Science, University of Copenhagen, Copenhagen 2100, Denmark.

Daniel McKay Fletcher (D)

Rural Economy, Environment and Society, Scotland's Rural College, Edinburgh EH9 3JG, UK.

Ann I Larsson (AI)

Tjärnö Marine Laboratory, Department of Marine Sciences, University of Gothenburg, Sweden.

Marcel Jaspars (M)

Marine Biodiscovery Centre, Department of Chemistry, University of Aberdeen, Aberdeen AB24 3UE, UK.

Laurence H De Clippele (LH)

School of Biodiversity, One Health & Veterinary Medicine, University of Glasgow, Glasgow G61 1QH, UK.

Classifications MeSH