Bird Classification

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.

Minimum System Requirements

Bird classification runs a lightweight tflite model on the CPU, there are no significantly different system requirements than running Frigate itself.

Model

The classification model used is the MobileNet INat Bird Classification, available identifiers can be found here.

Configuration

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.

classification:
  bird:
    enabled: true

Advanced Configuration

Fine-tune bird classification with these optional parameters:

• threshold: Classification confidence score required to set the sub label on the object.
  • Default: 0.9.