Avoiding confusion: Modelling image identification surveys with classification errors
Abstract Automated systems driven by machine learning is becoming increasingly used as an environmental monitoring tool. A common approach is to use classification algorithms to identify counts of categories (e.g. species) from images. However, the classification algorithms can be biased in the pres...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2025-03-01
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| Series: | Methods in Ecology and Evolution |
| Subjects: | |
| Online Access: | https://doi.org/10.1111/2041-210X.14484 |