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BirdNET The easiest way to identify birds by sound

What is BirdNET? How can computers learn to recognize birds from sounds? The Cornell Lab of Ornithology and the Chemnitz University of Technology are trying to find an answer to this question. Our research is mainly focused on the detection and classification of avian sounds using machine learning – we want to assist experts and citizen scientist in their work of monitoring and protecting our birds. This page features some of our public demonstrations, including a live stream demo, a demo for the analysis of audio recordings, an Android app and its visualization of submissions. All demos are based on an artificial neural network we call BirdNET. We are constantly improving the features and performance of our demos – please make sure to check back with us regularly. We are currently featuring 984 of the most common species of North America and Europe. We will add more species and more regions in the near future. Click here for the list of supported species.

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