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Optimizing image capture for computer vision‐powered taxonomic identification and trait recognition of biodiversity specimens

Abstract Biological collections house millions of specimens with digital images increasingly available through open‐access platforms. However, most imaging protocols were developed for human interpretation without considering automated analysis requirements. As computer vision applications revolutio...

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Ngā kaituhi matua: Alyson East, Elizabeth G. Campolongo, Luke Meyers, S. M. Rayeed, Samuel Stevens, Iuliia Zarubiieva, Isadora E. Fluck, Jennifer C. Girón, Maximiliane Jousse, Scott Lowe, Kayla I. Perry, Isabelle Betancourt, Noah Charney, Evan Donoso, Nathan Fox, Kim J. Landsbergen, Ekaterina Nepovinnykh, Michelle Ramirez, Parkash Singh, Khum Thapa‐Magar, Matthew Thompson, Evan Waite, Tanya Berger‐Wolf, Hilmar Lapp, Paula Mabee, Charles Stewart, Graham Taylor, Sydne Record
Hōputu: Artigo
Reo:Inglês
I whakaputaina: Wiley 2025-10-01
Rangatū:Methods in Ecology and Evolution
Ngā marau:
biological collections
computer vision
FAIR principles
metadata
specimen digitization
taxonomic identification
Urunga tuihono:https://doi.org/10.1111/2041-210X.70140
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