UpdatedFeb 13, 2026
PublishedMar 28, 2022
Packagede.tu_chemnitz.mi.kahst.birdnet
MD595a3b2c57a76b73af0658d8205d8c7ff
SHA1 (signer)12:BB:E1:0B:15:8A:DD:1C:2A:86:8C:1D:4B:04:3D:F5:EF:4E:57:FC
Signed byCN=Android, OU=Android, O=Google Inc., L=Mountain View, ST=California, C=US
Malware scanTRUSTED
Websitehttp://birdnet.cornell.edu
Contact[email protected]
Privacy policyView
What's new
BirdNET: The easiest way to identify birds by sound.
Description
How can computers learn to recognize birds from sounds? The BirdNET research project uses artificial intelligence and neural networks to train computers to identify more than 3,000 of the most common species worldwide. You can record a file using the microphone of your Android device and see if BirdNET correctly identifies the probable bird species present in your recording. Get to know the birds around you and help us to collect observations by submitting your recordings.
BirdNET is a joint project of the K. Lisa Yang Center for Conservation Bioacoustics at the Cornell Lab of Ornithology, and Chemnitz University of Technology.
BirdNET is a joint project of the K. Lisa Yang Center for Conservation Bioacoustics at the Cornell Lab of Ornithology, and Chemnitz University of Technology.
Required features
- Faketouch android.hardware.faketouch
- Location android.hardware.location
- Microphone android.hardware.microphone
- Screen Portrait android.hardware.screen.portrait
Permissions (7)
BirdNET requests the following Android permissions:
- Access Coarse Location android.permission.ACCESS_COARSE_LOCATION
- Access Fine Location android.permission.ACCESS_FINE_LOCATION
- Access Network State android.permission.ACCESS_NETWORK_STATE
- Internet android.permission.INTERNET
- Read External Storage android.permission.READ_EXTERNAL_STORAGE
- Record Audio android.permission.RECORD_AUDIO
- De Tu Chemnitz Mi Kahst Birdnet Dynamic Receiver Not Exported Permission de.tu_chemnitz.mi.kahst.birdnet.DYNAMIC_RECEIVER_NOT_EXPORTED_PERMISSION
