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Birds have an annoying habit of not sitting still, so there is still an opportunity to identify birds by behavior or sounds.
by metabagel 3y ago
Birds have an annoying habit of not sitting still, so there is still an opportunity to identify birds by behavior or sounds.
- lmpdev 3y agoI was birding years ago with two ornithology grad students We were primarily relying on sound for many but not all species Australian birds are MUCH louder than European and North American birds It’s logistically easier to verify species with a high gain omnidirectional field mic than nailing a photo even with a fast AF telescopic lens We nailed an Albert’s Lyrebird which can only ever realistically be observed via sound, as they’re one of the most evasive birds on the planet when it comes to human interactions
- helsinkiandrew 3y agoBirdnet can recognize around 3,000: https://birdnet.cornell.edu/ https://birdnet.cornell.edu/ How can computers learn to recognize birds from sounds? The K. Lisa Yang Center for Conservation Bioacoustics at the Cornell Lab of Ornithology and the Chair of Media Informatics at Chemnitz University of Technology are trying to find an answer to this question. Our research is mainly focused on the detection and classification of avian sounds using machine learning – we want to assist experts and citizen scientist in their work of monitoring and protecting our birds. BirdNET is a research platform that aims at recognizing birds by sound at scale. We 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.