Use 'BirdNET', a state-of-the-art deep learning classifier, to automatically identify (bird) sounds. Analyze bioacoustic datasets without any computer science background using a pre-trained model or a custom trained classifier. Predict bird species occurrence based on location and week of the year. Kahl, S., Wood, C. M., Eibl, M., & Klinck, H. (2021) <doi:10.1016/j.ecoinf.2021.101236>.
Version: 0.3.2 Depends: R (≥ 4.0) Imports: reticulate (≥ 1.41) Suggests: arrow, curl, devtools, knitr, rmarkdown, testthat (≥ 3.0.0) Published: 2025-04-30 DOI: 10.32614/CRAN.package.birdnetR Author: Felix Günther [cre], Stefan Kahl [aut, cph], BirdNET Team [aut] Maintainer: Felix Günther <felix.guenther at informatik.tu-chemnitz.de> BugReports: https://github.com/birdnet-team/birdnetR/issues License: MIT + file LICENSE URL: https://birdnet-team.github.io/birdnetR/, https://github.com/birdnet-team/birdnetR NeedsCompilation: no Materials: README, NEWS CRAN checks: birdnetR results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=birdnetR to link to this page.
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