Comparison of manual, machine learning, and hybrid methods for video annotation to extract parental care data

Chan, A.H.H. orcid.org/0000-0002-5405-7155, Liu, J., Burke, T. orcid.org/0000-0003-3848-1244 et al. (2 more authors) (2024) Comparison of manual, machine learning, and hybrid methods for video annotation to extract parental care data. Journal of Avian Biology, 2024 (3-4). e03167. ISSN 0908-8857

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Item Type: Article
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© 2023 The Authors. Journal of Avian Biology published by John Wiley & Sons Ltd on behalf of Nordic Society Oikos. This is an open access article under the terms of the Creative Commons Attribution License, (http://creativecommons.org/licenses/by/3.0/) which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

Keywords: computer vision; DeepMeerkat; house sparrow; open-source; parental care
Dates:
  • Published: March 2024
  • Published (online): 14 December 2023
  • Accepted: 16 October 2023
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Science (Sheffield) > School of Biosciences (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 19 Dec 2023 11:55
Last Modified: 01 Nov 2024 15:36
Status: Published
Publisher: Wiley
Refereed: Yes
Identification Number: 10.1111/jav.03167
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