mirror of
https://github.com/blakeblackshear/frigate.git
synced 2026-03-22 08:08:22 +03:00
32 lines
1.1 KiB
Markdown
32 lines
1.1 KiB
Markdown
|
---
|
||
|
|
id: bird_classification
|
||
|
|
title: 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.](https://raw.githubusercontent.com/google-coral/test_data/master/inat_bird_labels.txt)
|
||
|
|
|
||
|
|
## 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.
|
||
|
|
|
||
|
|
```yaml
|
||
|
|
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`.
|