Editor Reviews

The BirdNET research project is incredibly impressive! It demonstrates the application of artificial intelligence and neural networks in identifying bird species based on their sounds. With this technology, computers can now recognize over 3,000 of the most common bird species worldwide. The project is a partnership between the Cornell Lab of Ornithology and Chemnitz University of Technology.

BirdNET is incredibly easy to use and accessible to anyone with an Android device. Simply take out your phone, press record, and let BirdNET identify the bird species in your recording. This is a fun way to discover more about the birds in your area and contribute data to the project.

By submitting your recordings to BirdNET, you can assist scientists in determining the locations and activities of birds. This data is crucial for the conservation of endangered bird species and ensuring their safety. Essentially, BirdNET represents a innovative approach where technology aids in expanding our knowledge of nature.

In essence, BirdNET is an exciting research project that utilizes advanced AI and neural networks to identify the species of a bird based on its sound. It is a collaboration between the Cornell Lab of Ornithology and Chemnitz University of Technology. The best part is that you don't need to have technical expertise to participate - all you need is an Android device to submit recordings. Beyond just entertainment, your recordings contribute to valuable research on birds worldwide.

Features

The easiest way to identify birds by sound.