Type: Package
Package: birdnetR
Title: Deep Learning for Automated (Bird) Sound Identification
Version: 0.3.2
Authors@R: c(
    person("Felix", "Günther", , "felix.guenther@informatik.tu-chemnitz.de", role = "cre"),
    person("Stefan", "Kahl", , "stefan.kahl@cornell.edu", role = c("aut", "cph")),
    person("BirdNET", "Team", role = "aut")
  )
Description: 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>.
License: MIT + file LICENSE
URL: https://birdnet-team.github.io/birdnetR/,
        https://github.com/birdnet-team/birdnetR
Depends: R (>= 4.0)
Imports: reticulate (>= 1.41)
Suggests: arrow, curl, devtools, knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Config/testthat/edition: 3
Encoding: UTF-8
RoxygenNote: 7.3.2
BugReports: https://github.com/birdnet-team/birdnetR/issues
NeedsCompilation: no
Packaged: 2025-04-29 06:44:06 UTC; fegue
Author: Felix Günther [cre],
  Stefan Kahl [aut, cph],
  BirdNET Team [aut]
Maintainer: Felix Günther <felix.guenther@informatik.tu-chemnitz.de>
Repository: CRAN
Date/Publication: 2025-04-30 11:50:06 UTC
Built: R 4.6.0; ; 2026-04-27 15:06:45 UTC; unix
