Optimizing the automated recognition of individual animals to support population monitoring.

ABSTRACT: Reliable estimates of population size and demographic rates are central to assessing the status of threatened species. However, obtaining individual-based demographic rates requires long-term data, which is often costly and difficult to collect. Photographic data offer an inexpensive, noninvasive method for individual-based monitoring of species with unique markings, and could therefore increase available demographic data for many species. However, selecting suitable images and identifying individuals from photographic catalogs is prohibitively time-consuming. Automated identification software can significantly speed up this process. Nevertheless, automated methods for selecting suitable images are lacking, as are studies comparing the performance of the most prominent identification softw

SUBMITTER: de Lorm TA 

PROVIDER: S-EPMC10316465 | biostudies-literature | 2023 Jul

REPOSITORIES: biostudies-literature