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.
Leverages deep learning models trained on 6,512+ bird species to automatically detect and classify avian vocalizations in audio files or continuous streams. Provides both command-line and GUI interfaces designed for researchers without CS expertise, with support for batch processing large audio datasets and real-time analysis through Docker containerization. Integrates with Zenodo for model distribution and supports cross-platform deployment on Linux, Windows, and macOS via native installers or Python package management.
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)
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