batdetect2/docs/source/reference/model-config.md

Model config reference

ModelConfig defines the model stack used for training or fresh model construction.

Defined in batdetect2.models.

Top-level fields

• samplerate
  • expected input sample rate.
• architecture
  • backbone network settings.
• preprocess
  • spectrogram preprocessing settings.
• postprocess
  • decoding and output filtering settings.

What this config controls

Use ModelConfig when you want to change things like:

• the backbone architecture,
• the spectrogram settings used by the model,
• postprocessing settings stored with the model.

Example files live under example_data/configs/, including example_data/configs/model.yaml.

Related pages

• Preprocessing config: {doc}preprocessing-config
• Postprocess config: {doc}postprocess-config
• Train command reference: {doc}cli/train