diff --git a/docs/docs/configuration/detectors.md b/docs/docs/configuration/detectors.md
index 5242ca3e9..95608e4bf 100644
--- a/docs/docs/configuration/detectors.md
+++ b/docs/docs/configuration/detectors.md
@@ -101,7 +101,7 @@ The OpenVINO device to be used is specified using the `"device"` attribute accor
 
 OpenVINO is supported on 6th Gen Intel platforms (Skylake) and newer. A supported Intel platform is required to use the `GPU` device with OpenVINO. The `MYRIAD` device may be run on any platform, including Arm devices. For detailed system requirements, see [OpenVINO System Requirements](https://www.intel.com/content/www/us/en/developer/tools/openvino-toolkit/system-requirements.html)
 
-An OpenVINO model is provided in the container at `/openvino-model/ssdlite_mobilenet_v2.xml` and is used by this detector type by default. The model comes from Intel's Open Model Zoo [SSDLite MobileNet V2](https://github.com/openvinotoolkit/open_model_zoo/tree/master/models/public/ssdlite_mobilenet_v2) and is converted to an FP16 precision IR model. Use the model configuration shown below when using the OpenVINO detector. This detector also supports YOLOx models, and has been verified to work with the [yolox_tiny](https://github.com/openvinotoolkit/open_model_zoo/tree/master/models/public/yolox-tiny) model from Intel's Open Model Zoo. If using `yolox_tiny`, or any other YOLOx variant, make sure to set `input_tensor: nchw` and `model_type: yolox`, along with the appropriate width/height settings (416 for `yolox_tiny`). There is currently no support for other types of YOLO models.
+An OpenVINO model is provided in the container at `/openvino-model/ssdlite_mobilenet_v2.xml` and is used by this detector type by default. The model comes from Intel's Open Model Zoo [SSDLite MobileNet V2](https://github.com/openvinotoolkit/open_model_zoo/tree/master/models/public/ssdlite_mobilenet_v2) and is converted to an FP16 precision IR model. Use the model configuration shown below when using the OpenVINO detector.
 
 ```yaml
 detectors:
@@ -120,6 +120,8 @@ model:
   labelmap_path: /openvino-model/coco_91cl_bkgr.txt
 ```
 
+This detector also supports YOLOx models, and has been verified to work with the [yolox_tiny](https://github.com/openvinotoolkit/open_model_zoo/tree/master/models/public/yolox-tiny) model from Intel's Open Model Zoo. If using `yolox_tiny`, or any other YOLOx variant, make sure to set `input_tensor: nchw` and `model_type: yolox`, along with the appropriate width/height settings (416 for `yolox_tiny`). There is currently no support for other types of YOLO models.
+
 ### Intel NCS2 VPU and Myriad X Setup
 
 Intel produces a neural net inference accelleration chip called Myriad X. This chip was sold in their Neural Compute Stick 2 (NCS2) which has been discontinued. If intending to use the MYRIAD device for accelleration, additional setup is required to pass through the USB device. The host needs a udev rule installed to handle the NCS2 device.