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fix coral docs

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Josh Hawkins 2025-12-17 07:34:46 -06:00
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docs/docs/configuration/object_detectors.md
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@ -146,16 +146,16 @@ detectors:
### EdgeTPU Supported Models
| Model | Notes |
| ------------------------------------- | ------------------------------------------- |
| [MobileNet v2](#ssdlite-mobilenet-v2) | Default model |
| [YOLOv9](#yolo-v9) | More accurate but slower than default model |
| Model | Notes |
| ----------------------- | ------------------------------------------- |
| [Mobiledet](#mobiledet) | Default model |
| [YOLOv9](#yolov9) | More accurate but slower than default model |
#### SSDLite MobileNet v2
#### Mobiledet
A TensorFlow Lite model is provided in the container at `/edgetpu_model.tflite` and is used by this detector type by default. To provide your own model, bind mount the file into the container and provide the path with `model.path`.
#### YOLO v9
#### YOLOv9
[YOLOv9](https://github.com/dbro/frigate-detector-edgetpu-yolo9/releases/download/v1.0/yolov9-s-relu6-best_320_int8_edgetpu.tflite) models that are compiled for Tensorflow Lite and properly quantized are supported, but not included by default. To provide your own model, bind mount the file into the container and provide the path with `model.path`. Note that the model may require a custom label file (eg. [use this 17 label file](https://raw.githubusercontent.com/dbro/frigate-detector-edgetpu-yolo9/refs/heads/main/labels-coco17.txt) for the model linked above.)