diff --git a/docs/docs/configuration/object_detectors.md b/docs/docs/configuration/object_detectors.md
index c500ff78e..1190d5567 100644
--- a/docs/docs/configuration/object_detectors.md
+++ b/docs/docs/configuration/object_detectors.md
@@ -5,6 +5,8 @@ title: Object Detectors
 
 # Supported Hardware
 
+:::tip
+
 Frigate supports multiple different detectors that work on different types of hardware:
 
 **Most Hardware**
@@ -26,6 +28,8 @@ Frigate supports multiple different detectors that work on different types of ha
 **Rockchip**
 - [RKNN](#rockchip-platform): RKNN models can run on Rockchip devices with included NPUs.
 
+:::
+
 # Officially Supported Detectors
 
 Frigate provides the following builtin detector types: `cpu`, `edgetpu`, `openvino`, `tensorrt`, `rknn`, and `hailo8l`. By default, Frigate will use a single CPU detector. Other detectors may require additional configuration as described below. When using multiple detectors they will run in dedicated processes, but pull from a common queue of detection requests from across all cameras.
@@ -418,7 +422,7 @@ After placing the downloaded onnx model in your config folder, you can use the f
 
 ```yaml
 detectors:
-  onnx:
+  rocm:
     type: rocm
 
 model: