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* Add bird classification to sidebar * Add docs for bird classification * Update bird_classification.md Co-authored-by: Josh Hawkins <32435876+hawkeye217@users.noreply.github.com> * Add model info --------- Co-authored-by: Josh Hawkins <32435876+hawkeye217@users.noreply.github.com>
32 lines
1.1 KiB
Markdown
32 lines
1.1 KiB
Markdown
---
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id: bird_classification
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title: Bird Classification
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---
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Bird classification identifies known birds using a quantized Tensorflow model. When a known bird is recognized, its common name will be added as a `sub_label`. This information is included in the UI, filters, as well as in notifications.
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## Minimum System Requirements
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Bird classification runs a lightweight tflite model on the CPU, there are no significantly different system requirements than running Frigate itself.
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## Model
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The classification model used is the MobileNet INat Bird Classification, [available identifiers can be found here.](https://raw.githubusercontent.com/google-coral/test_data/master/inat_bird_labels.txt)
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## Configuration
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Bird classification is disabled by default, it must be enabled in your config file before it can be used. Bird classification is a global configuration setting.
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```yaml
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classification:
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bird:
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enabled: true
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```
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## Advanced Configuration
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Fine-tune bird classification with these optional parameters:
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- `threshold`: Classification confidence score required to set the sub label on the object.
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- Default: `0.9`.
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