BirdNET-Analyzer and Sound-based-bird-species-detection
BirdNET-Analyzer is a mature, production-grade acoustic analysis backend that could serve as the underlying detection engine for Sound-based Bird Species Detection's Flask web application interface, making them complements rather than competitors.
About BirdNET-Analyzer
birdnet-team/BirdNET-Analyzer
BirdNET analyzer for scientific audio data processing.
This tool helps scientists and conservationists analyze large collections of recorded audio to identify bird species. You input audio files from your fieldwork, and it tells you which bird species are present in the recordings. It's designed for researchers, biologists, and ecologists who monitor bird populations or study avian behavior.
About Sound-based-bird-species-detection
m-kortas/Sound-based-bird-species-detection
Sound-based Bird Classification - using AI, acoustics and ornithology to classify birds in the environment, an environmental awareness project (Web Application, Flask, Python)
This web application helps ornithologists, environmental researchers, and nature enthusiasts identify bird species from their songs. You input an audio recording of a bird, and the application outputs the likely species of the bird. It's designed for anyone interested in cataloging or studying bird populations through their vocalizations.
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