diff --git a/docs/docs/configuration/detectors.md b/docs/docs/configuration/detectors.md
index b03b39e8d..0c19fe4b0 100644
--- a/docs/docs/configuration/detectors.md
+++ b/docs/docs/configuration/detectors.md
@@ -116,7 +116,6 @@ model:
   height: 300
   input_tensor: nhwc
   input_pixel_format: bgr
-  model_type: ssd
   labelmap_path: /openvino-model/coco_91cl_bkgr.txt
 ```
 
@@ -128,7 +127,7 @@ detectors:
     type: openvino
     device: AUTO
     model:
-      path: /<path>/<to>/yolox_tiny.xml
+      path: /path/to/yolox_tiny.xml
 
 model:
   width: 416
@@ -136,7 +135,7 @@ model:
   input_tensor: nchw
   input_pixel_format: bgr
   model_type: yolox
-  labelmap_path: /<path>/<to>/coco_80cl.txt
+  labelmap_path: /path/to/coco_80cl.txt
 ```
 
 ### Intel NCS2 VPU and Myriad X Setup
diff --git a/docs/docs/configuration/index.md b/docs/docs/configuration/index.md
index 65a0491e7..146bfa51d 100644
--- a/docs/docs/configuration/index.md
+++ b/docs/docs/configuration/index.md
@@ -105,6 +105,9 @@ model:
   # Optional: Object detection model input tensor format
   # Valid values are nhwc or nchw (default: shown below)
   input_tensor: nhwc
+  # Optional: Object detection model type, currently only used with the OpenVINO detector
+  # Valid values are ssd or yolox (default: shown below)
+  model_type: ssd
   # Optional: Label name modifications. These are merged into the standard labelmap.
   labelmap:
     2: vehicle
diff --git a/frigate/detectors/plugins/openvino.py b/frigate/detectors/plugins/openvino.py
index 8074782f5..16c81d5d5 100644
--- a/frigate/detectors/plugins/openvino.py
+++ b/frigate/detectors/plugins/openvino.py
@@ -39,7 +39,6 @@ class OvDetector(DetectionApi):
             try:
                 tensor_shape = self.interpreter.output(self.output_indexes).shape
                 logger.info(f"Model Output-{self.output_indexes} Shape: {tensor_shape}")
-                logger.info(f"Model Output-{self.output_indexes} Shape: {tensor_shape}")
                 self.output_indexes += 1
             except:
                 logger.info(f"Model has {self.output_indexes} Output Tensors")
@@ -93,9 +92,9 @@ class OvDetector(DetectionApi):
                 ]
                 i += 1
             return detections
-
         elif(self.ov_model_type == ModelTypeEnum.yolox):
             out_tensor = infer_request.get_output_tensor()
+            # [x, y, h, w, box_score, class_no_1, ..., class_no_80],
             results = out_tensor.data
             results[..., :2] = (results[..., :2] + self.grids) * self.expanded_strides
             results[..., 2:4] = np.exp(results[..., 2:4]) * self.expanded_strides
@@ -117,7 +116,6 @@ class OvDetector(DetectionApi):
 
             for object_detected in ordered:
                 if i < 20:
-                # [x, y, h, w, box_score, class_no_1, ..., class_no_80],
                     detections[i] = [
                         object_detected[6],  # Label ID
                         object_detected[5],  # Confidence
@@ -126,8 +124,6 @@ class OvDetector(DetectionApi):
                         (object_detected[1]+(object_detected[3]/2))/self.h,  # y_max
                         (object_detected[0]+(object_detected[2]/2))/self.w,  # x_max
                     ]
-                    #logger.info(object_detected)
-                    #logger.info(detections[i])
                     i += 1
                 else:
                     break