We also checked and compared BirdNET as detector with our Bird Song Detector, our detector detected more birds with fewer false positives.

🔻 FNs dropped 67%
🔻 FPs stayed under 5%

General models like BirdNET are powerful, but local adaptation is key, but sometimes even fine-tuning or custom classifiers are not enough.
By separating detection and classification, we boost precision and reduce noise in PAM workflows.

#BirdNET #EcoAI #Bioacoustics