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Blake Blackshear 2025-09-06 13:41:06 -05:00
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@ -23,13 +23,19 @@ Not all model types are supported by all detectors, so it's important to choose
_\* Support coming in 0.17_ _\* Support coming in 0.17_
### YOLOv9 ### YOLOv9 Details
YOLOv9 models are available in `s` and `t` sizes. When requesting a `yolov9` model, you will be prompted to choose a size. If you are unsure what size to choose, you should perform some tests with the base models to find the performance level that suits you. The `s` size is most similar to the current `yolonas` models in terms of inference times and accuracy, and a good place to start is the `320x320` resolution model for `yolov9s`. YOLOv9 models are available in `s` and `t` sizes. When requesting a `yolov9` model, you will be prompted to choose a size. If you are unsure what size to choose, you should perform some tests with the base models to find the performance level that suits you. The `s` size is most similar to the current `yolonas` models in terms of inference times and accuracy, and a good place to start is the `320x320` resolution model for `yolov9s`.
:::info
When switching to YOLOv9, you may need to adjust your thresholds for some objects.
:::
#### Hailo Support #### Hailo Support
If you have a Hailo device, you will need to specify the hardware device you have when submitting a model request because they are not cross compatible. Please test using the available base models before submitting your model request. If you have a Hailo device, you will need to specify the hardware you have when submitting a model request because they are not cross compatible. Please test using the available base models before submitting your model request.
#### Rockchip (RKNN) Support #### Rockchip (RKNN) Support