How can computers learn to recognize birds from sounds? The BirdNET
research project uses artificial intelligence and neural networks
to train computers to identify nearly 1000 of the most common
species of North America and Europe. Help us test this prototype
app by recording a file using the internal microphone of your
Android device and seeing if BirdNET correctly identifies the
probable bird species present in your recording.
Please note: Response time is affected by the need to transfer the audio recordings to our servers in order to process the files. Recording quality may affect results and will vary depending on your device. External microphones will probably increase the recording quality.
BirdNET is a joint project of the Cornell Lab of Ornithology and Chemnitz University of Technology.
Please note: Response time is affected by the need to transfer the audio recordings to our servers in order to process the files. Recording quality may affect results and will vary depending on your device. External microphones will probably increase the recording quality.
BirdNET is a joint project of the Cornell Lab of Ornithology and Chemnitz University of Technology.
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