BirdNET science identifying birds by sound in North America and Europe @BirdNET_App

The Cornell Lab of Ornithology and the Chemnitz University of Technology are focusing on the detection and classification of avian sounds using machine learning.

BirdNET is a research platform that aims at recognizing birds by sound at scale. It support various hardware and operating systems such as Arduino microcontrollers, the Raspberry Pi, smartphones, web browsers, workstation PCs, and even cloud services. BirdNET is a citizen science platform as well as an analysis software for extremely large collections of audio.

BirdNET aims to provide innovative tools for conservationists, biologists, and birders alike.

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.

This page features some of our public demonstrations, including a live stream demo, a demo for the analysis of audio recordings, an Android and iOS app, and its visualization map of submissions.

See the video below and the website here