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BirdBox v1.0.0 - First Stable Release

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@El1as42 El1as42 released this 25 Jun 19:38
· 194 commits to main since this release
v1.0.0
ab07301

BirdBox is a deep learning system for detecting and evaluating bird calls in audio recordings. It applies YOLO object detection on PCEN spectrograms to localize vocalizations in time and frequency.

Highlights

  • 282 species supported across pre-trained regional and multi-region models
  • YOLO-based detection on PCEN spectrograms with sliding-window processing for arbitrary-length audio
  • Multiple model formats: .pt and .onnx
  • Batch and single-file inference via CLI and Python API
  • Song reconstruction to merge temporally adjacent detections into continuous vocalizations
  • Built-in evaluation: F-beta score analysis, confusion matrices, and optimal threshold search
  • Flexible outputs: JSON (with algorithm metadata), CSV, Xeno-Canto Annota-JSON, and Raven Selection Table
  • Interactive demo for quick testing without a local setup

Getting started

Documentation: https://birdnet-team.github.io/BirdBox/

Requirements: Python 3.12 (see Installation)

License

MIT, see LICENSE

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