A transferable approach for quantifying benthic fish sizes and densities in annotated underwater images
Abstract Benthic fishes are a common target of scientific monitoring but are difficult to quantify because of their close association to bottom habitats that are hard to access. Advances in image‐acquisition technologies, machine vision and deep learning have made capturing and quantifying fishes wi...
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| Main Authors: | Peter C. Esselman, Shadi Moradi, Joseph Geisz, Christopher Roussi |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2025-01-01
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| Series: | Methods in Ecology and Evolution |
| Subjects: | |
| Online Access: | https://doi.org/10.1111/2041-210X.14453 |
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