BirdNET-v3.0-Models / TERMS_OF_USE.txt
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BirdNET+ V3.0 Developer Preview - Terms of Use
This document governs use of the BirdNET+ V3.0 developer preview models (the “Models”). By using the Models, you agree to these terms.
1. Description
BirdNET+ V3.0-preview is an experimental developer preview deep learning model family for detecting animal vocalizations in audio. It builds on:
- Kahl et al. (2021): BirdNET: A deep learning solution for avian diversity monitoring.
- Lasseck (2018): Audio-based Bird Species Identification with Deep Convolutional Neural Networks.
Development and support involve the K. Lisa Yang Center for Conservation Bioacoustics (Cornell University), Chemnitz University of Technology and Museum für Naturkunde Berlin. Provided solely for research and evaluation.
2. License
Models are licensed under Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0):
- You may use (including commercially), share, and adapt with proper credit, license link, and indication of changes.
- Derivatives must use the same license.
The prohibitions in Section 5 override permissive license aspects.
3. No Warranty
THE MODELS ARE PROVIDED “AS IS” WITHOUT ANY WARRANTY (INCLUDING MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, ACCURACY, OR NON-INFRINGEMENT). USE AT YOUR OWN RISK.
4. Data & Responsibility
You are responsible for:
- Lawful acquisition and handling of audio data.
- Interpreting probabilistic outputs (false positives/negatives possible).
- Compliance with all applicable regulations.
5. Prohibited Uses
You must NOT use the Models or any derivative:
1. For POACHING, wildlife tracking intended to facilitate illegal capture, harm, trade, or exploitation of species.
2. For ANY MILITARY purpose, including surveillance, targeting, or integration into defense systems.
If you cannot comply, do not use the Models.
6. Attribution
Publications, presentations, or derived tools must attribute the use of the Models either through citation or acknowledgment (e.g., "Powered by BirdNET").
7. Limitation of Liability
Contributors and affiliated institutions are not liable for indirect, incidental, consequential, or special damages arising from use or inability to use the Models.
8. Contact
For permissions, clarifications, or to report misuse: stefan.kahl@cornell.edu