birdnet-analyzer

BirdNET analyzer for scientific audio data processing.

https://github.com/birdnet-team/birdnet-analyzer

Science Score: 46.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
  • Academic publication links
    Links to: zenodo.org
  • Committers with academic emails
    4 of 39 committers (10.3%) from academic institutions
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (11.7%) to scientific vocabulary

Keywords

acoustic-monitoring bioacoustics birds birdsong deep-learning
Last synced: 7 months ago · JSON representation

Repository

BirdNET analyzer for scientific audio data processing.

Basic Info
Statistics
  • Stars: 1,224
  • Watchers: 42
  • Forks: 207
  • Open Issues: 69
  • Releases: 12
Topics
acoustic-monitoring bioacoustics birds birdsong deep-learning
Created over 4 years ago · Last pushed 7 months ago
Metadata Files
Readme Contributing License

README.md

BirdNET-Analyzer

BirdNET-Logo


License OS Python 3.11 Species Downloads

Docker Reddit GitHub stars)

GitHub release PyPI - Version

Sponsor

This repo contains BirdNET scripts for processing large amounts of audio data or single audio files. This is the most advanced version of BirdNET for acoustic analyses and we will keep this repository up-to-date with new models and improved interfaces to enable scientists with no CS background to run the analysis.

Feel free to use BirdNET for your acoustic analyses and research. If you do, please cite as:

bibtex @article{kahl2021birdnet, title={BirdNET: A deep learning solution for avian diversity monitoring}, author={Kahl, Stefan and Wood, Connor M and Eibl, Maximilian and Klinck, Holger}, journal={Ecological Informatics}, volume={61}, pages={101236}, year={2021}, publisher={Elsevier} }

Documentation

You can access documentation for this project here.

Download

You can download installers for Windows and macOS from the releases page. Models can be found on Zenodo.

About

Developed by the K. Lisa Yang Center for Conservation Bioacoustics at the Cornell Lab of Ornithology in collaboration with Chemnitz University of Technology.

Go to https://birdnet.cornell.edu to learn more about the project.

Want to use BirdNET to analyze a large dataset? Don't hesitate to contact us: ccb-birdnet@cornell.edu

Have a question, remark, or feature request? Please start a new issue thread to let us know. Feel free to submit a pull request.

License

Please ensure you review and adhere to the specific license terms provided with each model.

Please note that all educational and research purposes are considered non-commercial use and it is therefore freely permitted to use BirdNET models in any way.

Funding

This project is supported by Jake Holshuh (Cornell class of ´69) and The Arthur Vining Davis Foundations. Our work in the K. Lisa Yang Center for Conservation Bioacoustics is made possible by the generosity of K. Lisa Yang to advance innovative conservation technologies to inspire and inform the conservation of wildlife and habitats.

The development of BirdNET is supported by the German Federal Ministry of Education and Research through the project “BirdNET+” (FKZ 01|S22072). The German Federal Ministry for the Environment, Nature Conservation and Nuclear Safety contributes through the “DeepBirdDetect” project (FKZ 67KI31040E). In addition, the Deutsche Bundesstiftung Umwelt supports BirdNET through the project “RangerSound” (project 39263/01).

Partners

BirdNET is a joint effort of partners from academia and industry. Without these partnerships, this project would not have been possible. Thank you!

Logos of all partners

Owner

  • Name: BirdNET-Team
  • Login: birdnet-team
  • Kind: organization
  • Location: Germany

GitHub Events

Total
  • Create event: 50
  • Release event: 2
  • Issues event: 64
  • Watch event: 187
  • Delete event: 47
  • Issue comment event: 103
  • Member event: 1
  • Push event: 292
  • Pull request review event: 15
  • Pull request review comment event: 8
  • Pull request event: 107
  • Fork event: 30
Last Year
  • Create event: 50
  • Release event: 2
  • Issues event: 64
  • Watch event: 187
  • Delete event: 47
  • Issue comment event: 103
  • Member event: 1
  • Push event: 292
  • Pull request review event: 15
  • Pull request review comment event: 8
  • Pull request event: 107
  • Fork event: 30

Committers

Last synced: 7 months ago

All Time
  • Total Commits: 741
  • Total Committers: 39
  • Avg Commits per committer: 19.0
  • Development Distribution Score (DDS): 0.586
Past Year
  • Commits: 291
  • Committers: 23
  • Avg Commits per committer: 12.652
  • Development Distribution Score (DDS): 0.643
Top Committers
Name Email Commits
Stefan Kahl k****t@h****e 307
Josef Haupt j****t@i****e 155
Josef Haupt j****t@p****e 99
Max Mauermann m****n@w****e 92
LimitlessGreen l****n@o****e 21
Mattk70 e****l@m****k 6
Felix Günther f****r@g****m 6
Patrick McGuire 6****9 6
Jurijs Ješkins j****s@g****m 5
Mikhail Zakharov m****o@g****m 4
Harald Mack h****k@p****m 4
woheller69 6****9 3
AFairbairn a****5@g****m 2
Evan Moritz e****x@g****m 2
Ken k****h@g****m 2
Kevin F.A. Darras k****s@i****r 2
Mikko Heikkinen h****k@b****g 2
Stefan Taubert 2****t 2
bartman081523 c****b@g****m 1
jimmyknowles 3****s 1
bartman081523 4****3 1
Wiliam Souza w****s@p****r 1
Troy Gruetzmacher t****m@g****m 1
Tomi P. Hakala t****a@p****i 1
Thomas Wilhelm-Stein t****t@g****m 1
Thibaut Voirand t****d@g****m 1
Sunny Tseng 4****g 1
Prayag Shah 3****h 1
Oliver Payne o****e 1
Olindn O****7@g****m 1
and 9 more...

Issues and Pull Requests

Last synced: 7 months ago

All Time
  • Total issues: 54
  • Total pull requests: 151
  • Average time to close issues: 11 days
  • Average time to close pull requests: 7 days
  • Total issue authors: 43
  • Total pull request authors: 11
  • Average comments per issue: 0.81
  • Average comments per pull request: 0.25
  • Merged pull requests: 116
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 53
  • Pull requests: 149
  • Average time to close issues: 7 days
  • Average time to close pull requests: 3 days
  • Issue authors: 43
  • Pull request authors: 11
  • Average comments per issue: 0.6
  • Average comments per pull request: 0.25
  • Merged pull requests: 115
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
  • OConnorStP (5)
  • cbalantic (3)
  • Mattk70 (3)
  • dawnbarlow (3)
  • mikeletnic (2)
  • Richterskala101 (1)
  • ninascarpelli (1)
  • afowxc (1)
  • mbsantiago (1)
  • LSMSugai (1)
  • ObakengPule (1)
  • giselleowens (1)
  • miloit (1)
  • janicylee (1)
  • mlynngarcia (1)
Pull Request Authors
  • Josef-Haupt (93)
  • max-mauermann (20)
  • yurish (13)
  • zemzema (9)
  • kahst (8)
  • jarnoh (2)
  • emmanuel-ferdman (2)
  • ronaldehido (1)
  • FCMeng (1)
  • woheller69 (1)
  • tphakala (1)
Top Labels
Issue Labels
Pull Request Labels

Packages

  • Total packages: 1
  • Total downloads:
    • pypi 324 last-month
  • Total dependent packages: 0
  • Total dependent repositories: 0
  • Total versions: 4
  • Total maintainers: 1
pypi.org: birdnet-analyzer

BirdNET analyzer for scientific audio data processing and bird classification.

  • Versions: 4
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 324 Last month
Rankings
Dependent packages count: 9.3%
Average: 30.7%
Dependent repos count: 52.1%
Maintainers (1)
Last synced: 7 months ago

Dependencies

Dockerfile docker
  • python 3.9-slim build