Endless Forams: >34,000 Modern Planktonic Foraminiferal Images for Taxonomic Training and Automated Species Recognition Using Convolutional Neural Networks

Hsiang, AY, Brombacher, A, Rillo, MC et al. (20 more authors) (2019) Endless Forams: >34,000 Modern Planktonic Foraminiferal Images for Taxonomic Training and Automated Species Recognition Using Convolutional Neural Networks. Paleoceanography and Paleoclimatology, 34 (7). pp. 1157-1177. ISSN 2572-4517

Abstract

Metadata

Authors/Creators:
  • Hsiang, AY
  • Brombacher, A
  • Rillo, MC
  • Mleneck-Vautravers, MJ
  • Conn, S
  • Lordsmith, S
  • Jentzen, A
  • Henehan, MJ
  • Metcalfe, B
  • Fenton, IS
  • Wade, BS
  • Fox, L
  • Meilland, J
  • Davis, CV
  • Baranowski, U
  • Groeneveld, J
  • Edgar, KM
  • Movellan, A
  • Aze, T https://orcid.org/0000-0002-4201-7105
  • Dowsett, HJ
  • Miller, CG
  • Rios, N
  • Hull, PM
Copyright, Publisher and Additional Information: ©2019. The Authors. This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) (https://creativecommons.org/licenses/by-nc-nd/4.0/)
Keywords: planktonic foraminifera; global community macroecology; supervised machine learning; convolutional neural networks; marine microfossils; species identification
Dates:
  • Published: 22 July 2019
  • Accepted: 7 June 2019
  • Published (online): 23 June 2019
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Environment (Leeds) > School of Earth and Environment (Leeds) > Earth Surface Science Institute (ESSI) (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 02 Oct 2019 12:53
Last Modified: 02 Oct 2019 12:53
Status: Published
Publisher: John Wiley and Sons Inc.
Identification Number: https://doi.org/10.1029/2019PA003612
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