{
  "schema": "https://mantle-sound.org/schemas/birdid/0.1",
  "created_at": "2026-08-06T19:56:45.386035+00:00",
  "created_by": {
    "tool": "birdid",
    "version": "0.1.0"
  },
  "model": {
    "name": "BirdNET",
    "developers": [
      "K. Lisa Yang Center for Conservation Bioacoustics, Cornell Lab of Ornithology",
      "Chemnitz University of Technology"
    ],
    "homepage": "https://birdnet.cornell.edu/",
    "analyzer": "https://birdnet-team.github.io/BirdNET-Analyzer/",
    "model_license": "CC BY-NC-SA 4.0",
    "model_license_url": "https://creativecommons.org/licenses/by-nc-sa/4.0/",
    "source_license": "MIT",
    "citation": "Kahl, S., Wood, C. M., Eibl, M., & Klinck, H. (2021). BirdNET: A deep learning solution for avian diversity monitoring. Ecological Informatics, 61, 101236.",
    "note": "This tool redistributes no model file. The models ship inside the birdnetlib package and are present once the birdnet extra is installed, so analysis needs no network. Installing therefore places a CC BY-NC-SA 4.0 copy on disk, and passing that environment on is redistribution. Those terms also apply to how results are used, including the non-commercial condition. The BirdNET authors state that educational and research purposes count as non-commercial.",
    "model_name": "BirdNET-Analyzer",
    "model_version": "2.4",
    "label_count": 6522,
    "runner": "birdnetlib",
    "runner_version": "0.18.1",
    "frame_seconds": 3.0,
    "analysis_rate_hz": 48000
  },
  "sources": [
    {
      "name": "260115_002_Tr1.WAV",
      "path_as_provided": "/run/media/xeanon/4A21-0000/260115_002_Tr1.WAV",
      "sample_rate_hz": 48000,
      "channels": 1,
      "codec": "pcm_f32le"
    }
  ],
  "range_source": "lowdom intervals CSV: candidate-clean-intervals.csv",
  "parameters": {
    "min_confidence": 0.25,
    "sensitivity": 1.0,
    "overlap_seconds": 0.0,
    "latitude": 29.898,
    "longitude": 102.03,
    "week_48": 3,
    "location_filter_threshold": 0.03,
    "custom_species_list": null,
    "track_merge": "maximum confidence per frame and species"
  },
  "interpretation": "BirdNET confidence is a model score for a 3-second frame, not a probability and not a verified record. Listen before citing.",
  "duration_seconds": 10944.0,
  "duration_timecode": "03:02:24.000",
  "analysed_range_count": 135,
  "skipped_short_range_count": 0,
  "analysed_seconds": 2610.0,
  "analysed_timecode": "00:43:30.000",
  "analysed_percent": 23.848684210526315,
  "detection_count": 128,
  "species_count": 11,
  "spectrograms": {
    "directory": "detection-spectrograms",
    "source": "260115_002_Tr1.WAV",
    "size": "560x260",
    "format": "webp",
    "minimum_confidence": 0.25,
    "rendered": 126,
    "failed": []
  },
  "photographs": {
    "source": "iNaturalist",
    "directory": "species-photos",
    "size": "medium",
    "allowed_licenses": [
      "cc0",
      "cc-by",
      "cc-by-sa",
      "cc-by-nc",
      "cc-by-nc-sa",
      "cc-by-nd",
      "cc-by-nc-nd"
    ],
    "collected": 11,
    "skipped": []
  }
}