Centering Ecological Goals in Automated Identification of Individual Animals
Recognizing individual animals over time is central to many ecological and conservation questions, including estimating abundance, survival, movement, and social structure. Recent advances in automated identification from images and even acoustic data suggest that this process could be greatly accelerated, yet their promise has not translated well into ecological practice. We argue that the main barrier is not the performance of the automated methods themselves, but a mismatch between how those methods are typically developed and evaluated, and how ecological data is actually collected, processed, reviewed, and used. Future progress, therefore, will depend less on algorithmic gains alone ...
| Authors | Lukas Picek, Timm Haucke, Lukáš Adam et al. |
|---|---|
| Primary category | q-bio.PE |
| Published | 22 April 2026 |
| Last updated at source | 22 April 2026 |
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