BirdNET

Global AI models trained on North American and European sounds fail to recognize Indian wildlife calls, prompting 59 volunteers to build the country's first open-access ecoacoustic dataset with 5,815 …

Teddy Warner's Avian Visitors project uses a Raspberry Pi and USB microphone with Cornell's BirdNET deep learning classifier to identify and track bird species by sound, displaying recent visitors as …

Researchers from Cornell, Oregon State, and Syracuse universities demonstrated that BirdNET, a general-purpose deep audio embedding model trained primarily on bird calls, can robustly identify individ…