PhenoLearn: a user-friendly toolkit for image annotation and deep learning-based phenotyping for biological datasets

He, Y. orcid.org/0000-0003-3464-7526, Cooney, C.R. orcid.org/0000-0002-4872-9146, Maddock, S. et al. (1 more author) (2025) PhenoLearn: a user-friendly toolkit for image annotation and deep learning-based phenotyping for biological datasets. Journal of Evolutionary Biology. voaf058. ISSN 1010-061X

Abstract

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Item Type: Article
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© The Author(s) 2025. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.

Keywords: Zoology; Ecology; Evolutionary Biology; Biological Sciences; Networking and Information Technology R&D (NITRD); Machine Learning and Artificial Intelligence; Bioengineering; Generic health relevance
Dates:
  • Published (online): 14 May 2025
  • Published: 14 May 2025
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Science (Sheffield) > School of Biosciences (Sheffield)
Funding Information:
Funder
Grant number
NATURAL ENVIRONMENT RESEARCH COUNCIL
NE/T01105X/1
Depositing User: Symplectic Sheffield
Date Deposited: 23 May 2025 08:51
Last Modified: 25 May 2025 07:50
Status: Published online
Publisher: Oxford University Press (OUP)
Refereed: Yes
Identification Number: 10.1093/jeb/voaf058
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Open Archives Initiative ID (OAI ID):

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