diff --git a/classify/predict.py b/classify/predict.py
index 9373649..96508d6 100644
--- a/classify/predict.py
+++ b/classify/predict.py
@@ -15,7 +15,7 @@ Usage - formats:
     $ python classify/predict.py --weights yolov5s-cls.pt                 # PyTorch
                                            yolov5s-cls.torchscript        # TorchScript
                                            yolov5s-cls.onnx               # ONNX Runtime or OpenCV DNN with --dnn
-                                           yolov5s-cls.xml                # OpenVINO
+                                           yolov5s-cls_openvino_model     # OpenVINO
                                            yolov5s-cls.engine             # TensorRT
                                            yolov5s-cls.mlmodel            # CoreML (macOS-only)
                                            yolov5s-cls_saved_model        # TensorFlow SavedModel
diff --git a/classify/val.py b/classify/val.py
index 3c16ec8..c0b5077 100644
--- a/classify/val.py
+++ b/classify/val.py
@@ -10,7 +10,7 @@ Usage - formats:
     $ python classify/val.py --weights yolov5s-cls.pt                 # PyTorch
                                        yolov5s-cls.torchscript        # TorchScript
                                        yolov5s-cls.onnx               # ONNX Runtime or OpenCV DNN with --dnn
-                                       yolov5s-cls.xml                # OpenVINO
+                                       yolov5s-cls_openvino_model     # OpenVINO
                                        yolov5s-cls.engine             # TensorRT
                                        yolov5s-cls.mlmodel            # CoreML (macOS-only)
                                        yolov5s-cls_saved_model        # TensorFlow SavedModel
diff --git a/detect.py b/detect.py
index 98af723..8e42fbe 100644
--- a/detect.py
+++ b/detect.py
@@ -15,7 +15,7 @@ Usage - formats:
     $ python detect.py --weights yolov5s.pt                 # PyTorch
                                  yolov5s.torchscript        # TorchScript
                                  yolov5s.onnx               # ONNX Runtime or OpenCV DNN with --dnn
-                                 yolov5s.xml                # OpenVINO
+                                 yolov5s_openvino_model     # OpenVINO
                                  yolov5s.engine             # TensorRT
                                  yolov5s.mlmodel            # CoreML (macOS-only)
                                  yolov5s_saved_model        # TensorFlow SavedModel
diff --git a/export.py b/export.py
index 66d4d63..93845a0 100644
--- a/export.py
+++ b/export.py
@@ -28,7 +28,7 @@ Inference:
     $ python detect.py --weights yolov5s.pt                 # PyTorch
                                  yolov5s.torchscript        # TorchScript
                                  yolov5s.onnx               # ONNX Runtime or OpenCV DNN with --dnn
-                                 yolov5s.xml                # OpenVINO
+                                 yolov5s_openvino_model     # OpenVINO
                                  yolov5s.engine             # TensorRT
                                  yolov5s.mlmodel            # CoreML (macOS-only)
                                  yolov5s_saved_model        # TensorFlow SavedModel
diff --git a/models/common.py b/models/common.py
index ba18cbc..af8132f 100644
--- a/models/common.py
+++ b/models/common.py
@@ -318,7 +318,7 @@ class DetectMultiBackend(nn.Module):
         #   TorchScript:                    *.torchscript
         #   ONNX Runtime:                   *.onnx
         #   ONNX OpenCV DNN:                *.onnx --dnn
-        #   OpenVINO:                       *.xml
+        #   OpenVINO:                       *_openvino_model
         #   CoreML:                         *.mlmodel
         #   TensorRT:                       *.engine
         #   TensorFlow SavedModel:          *_saved_model
@@ -469,7 +469,7 @@ class DetectMultiBackend(nn.Module):
             check_requirements('paddlepaddle-gpu' if cuda else 'paddlepaddle')
             import paddle.inference as pdi
             if not Path(w).is_file():  # if not *.pdmodel
-                w = next(Path(w).rglob('*.pdmodel'))  # get *.xml file from *_openvino_model dir
+                w = next(Path(w).rglob('*.pdmodel'))  # get *.pdmodel file from *_paddle_model dir
             weights = Path(w).with_suffix('.pdiparams')
             config = pdi.Config(str(w), str(weights))
             if cuda:
diff --git a/segment/predict.py b/segment/predict.py
index 44d6d39..3ae6824 100644
--- a/segment/predict.py
+++ b/segment/predict.py
@@ -15,7 +15,7 @@ Usage - formats:
     $ python segment/predict.py --weights yolov5s-seg.pt                 # PyTorch
                                           yolov5s-seg.torchscript        # TorchScript
                                           yolov5s-seg.onnx               # ONNX Runtime or OpenCV DNN with --dnn
-                                          yolov5s-seg.xml                # OpenVINO
+                                          yolov5s-seg_openvino_model     # OpenVINO
                                           yolov5s-seg.engine             # TensorRT
                                           yolov5s-seg.mlmodel            # CoreML (macOS-only)
                                           yolov5s-seg_saved_model        # TensorFlow SavedModel
diff --git a/segment/val.py b/segment/val.py
index f1ec546..a875b3b 100644
--- a/segment/val.py
+++ b/segment/val.py
@@ -4,13 +4,13 @@ Validate a trained YOLOv5 segment model on a segment dataset
 
 Usage:
     $ bash data/scripts/get_coco.sh --val --segments  # download COCO-segments val split (1G, 5000 images)
-    $ python segment/val.py --weights yolov5s-seg.pt --data coco.yaml --img 640-  # validate COCO-segments
+    $ python segment/val.py --weights yolov5s-seg.pt --data coco.yaml --img 640  # validate COCO-segments
 
 Usage - formats:
     $ python segment/val.py --weights yolov5s-seg.pt                 # PyTorch
                                       yolov5s-seg.torchscript        # TorchScript
                                       yolov5s-seg.onnx               # ONNX Runtime or OpenCV DNN with --dnn
-                                      yolov5s-seg.xml                # OpenVINO
+                                      yolov5s-seg_openvino_label     # OpenVINO
                                       yolov5s-seg.engine             # TensorRT
                                       yolov5s-seg.mlmodel            # CoreML (macOS-only)
                                       yolov5s-seg_saved_model        # TensorFlow SavedModel
diff --git a/val.py b/val.py
index ca838c0..127acf8 100644
--- a/val.py
+++ b/val.py
@@ -9,7 +9,7 @@ Usage - formats:
     $ python val.py --weights yolov5s.pt                 # PyTorch
                               yolov5s.torchscript        # TorchScript
                               yolov5s.onnx               # ONNX Runtime or OpenCV DNN with --dnn
-                              yolov5s.xml                # OpenVINO
+                              yolov5s_openvino_model     # OpenVINO
                               yolov5s.engine             # TensorRT
                               yolov5s.mlmodel            # CoreML (macOS-only)
                               yolov5s_saved_model        # TensorFlow SavedModel