Well-intentioned initiatives hinder understanding biodiversity conservation: an essay on a recent deep-learning image classifier for Amazonian fishes

Campos, D.S., de Oliveira, R.F., de Oliveira Vieira, L. et al. (7 more authors) (2024) Well-intentioned initiatives hinder understanding biodiversity conservation: an essay on a recent deep-learning image classifier for Amazonian fishes. Reviews in Fish Biology and Fisheries. ISSN 0960-3166

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Item Type: Article
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Copyright, Publisher and Additional Information:

This is an author produced version of an article accepted for publication in Reviews in Fish Biology and Fisheries, made available under the terms of the Creative Commons Attribution License (CC-BY), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited.

Keywords: Amazon River basin; Automated classification; Convolutional neural networks; Neotropical ichthyology; Taxonomy
Dates:
  • Published (online): 19 October 2024
  • Accepted: 4 October 2024
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Biological Sciences (Leeds) > School of Biology (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 06 Dec 2024 12:11
Last Modified: 23 Jan 2025 14:05
Status: Published
Publisher: Springer Nature
Identification Number: 10.1007/s11160-024-09901-y
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Sustainable Development Goals:
  • Sustainable Development Goals: Goal 15: Life on Land
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