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Monitoring and Analysis","monthly_downloads":813,"total_dependent_repos":0,"total_dependent_packages":0,"readme":"\u003cdiv align=\"center\"\u003e\n  \u003ch1\u003eBirdNET-Analyzer\u003c/h1\u003e\n    \u003ca href=\"https://birdnet-team.github.io/BirdNET-Analyzer/\"\u003e\n        \u003cimg src=\"https://github.com/birdnet-team/BirdNET-Analyzer/blob/main/docs/_static/logo_birdnet_big.png?raw=true\" width=\"300\" alt=\"BirdNET-Logo\" /\u003e\n    \u003c/a\u003e\n\u003c/div\u003e\n\u003cbr\u003e\n\u003cdiv align=\"center\"\u003e\n\n![License](https://img.shields.io/github/license/birdnet-team/BirdNET-Analyzer)\n![OS](https://badgen.net/badge/OS/Linux%2C%20Windows%2C%20macOS/blue)\n[![Python 3.12](https://img.shields.io/badge/python-3.12-blue.svg)](https://www.python.org/downloads/release/python-3120/)\n![Species](https://badgen.net/badge/Species/6512/blue)\n![Downloads](https://www-user.tu-chemnitz.de/~johau/birdnet_total_downloads_badge.php)\n\n[![Docker](https://github.com/birdnet-team/BirdNET-Analyzer/actions/workflows/docker-build.yml/badge.svg)](https://github.com/birdnet-team/BirdNET-Analyzer/actions/workflows/docker-build.yml)\n[![Reddit](https://img.shields.io/badge/Reddit-FF4500?style=flat\u0026logo=reddit\u0026logoColor=white)](https://www.reddit.com/r/BirdNET_Analyzer/)\n![GitHub stars)](https://img.shields.io/github/stars/birdnet-team/BirdNET-Analyzer)\n\n[![GitHub release](https://img.shields.io/github/v/release/birdnet-team/BirdNET-Analyzer)](https://github.com/birdnet-team/BirdNET-Analyzer/releases/latest)\n[![PyPI - Version](https://img.shields.io/pypi/v/birdnet_analyzer?logo=pypi)](https://pypi.org/project/birdnet-analyzer/)\n\n[![Sponsor](https://img.shields.io/badge/Support%20our%20work-8A2BE2?logo=data:image/svg+xml;base64,PHN2ZyBoZWlnaHQ9IjE2IiB2aWV3Qm94PSIwIDAgMTYgMTYiIHZlcnNpb249IjEuMSIgd2lkdGg9IjE2IiBkYXRhLXZpZXctY29tcG9uZW50PSJ0cnVlIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPg0KICAgIDxwYXRoIGQ9Im04IDE0LjI1LjM0NS42NjZhLjc1Ljc1IDAgMCAxLS42OSAwbC0uMDA4LS4wMDQtLjAxOC0uMDFhNy4xNTIgNy4xNTIgMCAwIDEtLjMxLS4xNyAyMi4wNTUgMjIuMDU1IDAgMCAxLTMuNDM0LTIuNDE0QzIuMDQ1IDEwLjczMSAwIDguMzUgMCA1LjUgMCAyLjgzNiAyLjA4NiAxIDQuMjUgMSA1Ljc5NyAxIDcuMTUzIDEuODAyIDggMy4wMiA4Ljg0NyAxLjgwMiAxMC4yMDMgMSAxMS43NSAxIDEzLjkxNCAxIDE2IDIuODM2IDE2IDUuNWMwIDIuODUtMi4wNDUgNS4yMzEtMy44ODUgNi44MThhMjIuMDY2IDIyLjA2NiAwIDAgMS0zLjc0NCAyLjU4NGwtLjAxOC4wMS0uMDA2LjAwM2gtLjAwMlpNNC4yNSAyLjVjLTEuMzM2IDAtMi43NSAxLjE2NC0yLjc1IDMgMCAyLjE1IDEuNTggNC4xNDQgMy4zNjUgNS42ODJBMjAuNTggMjAuNTggMCAwIDAgOCAxMy4zOTNhMjAuNTggMjAuNTggMCAwIDAgMy4xMzUtMi4yMTFDMTIuOTIgOS42NDQgMTQuNSA3LjY1IDE0LjUgNS41YzAtMS44MzYtMS40MTQtMy0yLjc1LTMtMS4zNzMgMC0yLjYwOS45ODYtMy4wMjkgMi40NTZhLjc0OS43NDkgMCAwIDEtMS40NDIgMEM2Ljg1OSAzLjQ4NiA1LjYyMyAyLjUgNC4yNSAyLjVaIj48L3BhdGg+DQo8L3N2Zz4=)](https://give.birds.cornell.edu/page/132162/donate/1)\n\n\u003c/div\u003e\n\nThis repo contains BirdNET scripts for processing large amounts of audio data or single audio files.\nThis 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.\n\nFeel free to use BirdNET for your acoustic analyses and research.\nIf you do, please cite as:\n\n```bibtex\n@article{kahl2021birdnet,\n  title={BirdNET: A deep learning solution for avian diversity monitoring},\n  author={Kahl, Stefan and Wood, Connor M and Eibl, Maximilian and Klinck, Holger},\n  journal={Ecological Informatics},\n  volume={61},\n  pages={101236},\n  year={2021},\n  publisher={Elsevier}\n}\n```\n\n## Documentation\n\nYou can access documentation for this project [here](https://birdnet-team.github.io/BirdNET-Analyzer/).\n\n## Download\n\nYou can download installers for Windows and macOS from the [releases page](https://github.com/birdnet-team/BirdNET-Analyzer/releases/latest).\nModels can be found on [Zenodo](https://zenodo.org/records/15050749).\n\n## About\n\nDeveloped by the [K. Lisa Yang Center for Conservation Bioacoustics](https://www.birds.cornell.edu/ccb/) at the [Cornell Lab of Ornithology](https://www.birds.cornell.edu/home) in collaboration with [Chemnitz University of Technology](https://www.tu-chemnitz.de/index.html.en).\n\nGo to https://birdnet.cornell.edu to learn more about the project.\n\nWant to use BirdNET to analyze a large dataset? Don't hesitate to contact us: ccb-birdnet@cornell.edu\n\n**Have a question, remark, or feature request? Please start a new issue thread to let us know. Feel free to submit a pull request.**\n\n## License\n\n- **Source Code**: The source code for this project is licensed under the [MIT License](https://opensource.org/licenses/MIT).\n- **Models**: The models used in this project are licensed under the [Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License (CC BY-NC-SA 4.0)](https://creativecommons.org/licenses/by-nc-sa/4.0/).\n\nPlease ensure you review and adhere to the specific license terms provided with each model.\n\n*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.*\n\n## Funding\n\nOur 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.\n\nThe development of BirdNET is supported by the German Federal Ministry of Research, Technology and Space (FKZ 01|S22072), the German Federal Ministry for the Environment, Climate Action, Nature Conservation and Nuclear Safety (FKZ 67KI31040E), the German Federal Ministry of Economic Affairs and Energy (FKZ 16KN095550), the Deutsche Bundesstiftung Umwelt (project 39263/01) and the European Social Fund.\n\n## Partners\n\nBirdNET is a joint effort of partners from academia and industry.\nWithout these partnerships, this project would not have been possible.\nThank you!\n\n![Logos of all partners](https://tuc.cloud/index.php/s/KSdWfX5CnSRpRgQ/download/box_logos.png)\n","funding_links":[],"readme_doi_urls":[],"works":{},"citation_counts":{},"total_citations":0,"keywords_from_contributors":["birdnet","bird","birdsong-recognition","sound","spectrogram"],"project_url":"https://ost.ecosyste.ms/api/v1/projects/311809","html_url":"https://ost.ecosyste.ms/projects/311809"}