diff --git a/.github/workflows/greetings.yml b/.github/workflows/greetings.yml
index 58fbcbfa9..0b749f438 100644
--- a/.github/workflows/greetings.yml
+++ b/.github/workflows/greetings.yml
@@ -56,4 +56,4 @@ jobs:
 
             <a href="https://github.com/ultralytics/yolov5/actions"><img src="https://github.com/ultralytics/yolov5/workflows/CI%20CPU%20testing/badge.svg" alt="CI CPU testing"></a>
 
-            If this badge is green, all [YOLOv5 GitHub Actions](https://github.com/ultralytics/yolov5/actions) Continuous Integration (CI) tests are currently passing. CI tests verify correct operation of YOLOv5 training ([train.py](https://github.com/ultralytics/yolov5/blob/master/train.py)), validation ([val.py](https://github.com/ultralytics/yolov5/blob/master/val.py)), inference ([detect.py](https://github.com/ultralytics/yolov5/blob/master/detect.py)) and export ([export.py](https://github.com/ultralytics/yolov5/blob/master/export.py)) on MacOS, Windows, and Ubuntu every 24 hours and on every commit.
+            If this badge is green, all [YOLOv5 GitHub Actions](https://github.com/ultralytics/yolov5/actions) Continuous Integration (CI) tests are currently passing. CI tests verify correct operation of YOLOv5 training ([train.py](https://github.com/ultralytics/yolov5/blob/master/train.py)), validation ([val.py](https://github.com/ultralytics/yolov5/blob/master/val.py)), inference ([detect.py](https://github.com/ultralytics/yolov5/blob/master/detect.py)) and export ([export.py](https://github.com/ultralytics/yolov5/blob/master/export.py)) on macOS, Windows, and Ubuntu every 24 hours and on every commit.
diff --git a/detect.py b/detect.py
index 14ff9a6ab..bc93631ca 100644
--- a/detect.py
+++ b/detect.py
@@ -17,7 +17,7 @@ Usage - formats:
                                          yolov5s.onnx               # ONNX Runtime or OpenCV DNN with --dnn
                                          yolov5s.xml                # OpenVINO
                                          yolov5s.engine             # TensorRT
-                                         yolov5s.mlmodel            # CoreML (MacOS-only)
+                                         yolov5s.mlmodel            # CoreML (macOS-only)
                                          yolov5s_saved_model        # TensorFlow SavedModel
                                          yolov5s.pb                 # TensorFlow GraphDef
                                          yolov5s.tflite             # TensorFlow Lite
diff --git a/export.py b/export.py
index 16ba2ffce..ceb7862a4 100644
--- a/export.py
+++ b/export.py
@@ -29,7 +29,7 @@ Inference:
                                          yolov5s.onnx               # ONNX Runtime or OpenCV DNN with --dnn
                                          yolov5s.xml                # OpenVINO
                                          yolov5s.engine             # TensorRT
-                                         yolov5s.mlmodel            # CoreML (MacOS-only)
+                                         yolov5s.mlmodel            # CoreML (macOS-only)
                                          yolov5s_saved_model        # TensorFlow SavedModel
                                          yolov5s.pb                 # TensorFlow GraphDef
                                          yolov5s.tflite             # TensorFlow Lite
diff --git a/tutorial.ipynb b/tutorial.ipynb
index d5a10dfd5..dd6f52033 100644
--- a/tutorial.ipynb
+++ b/tutorial.ipynb
@@ -962,7 +962,7 @@
         "\n",
         "![CI CPU testing](https://github.com/ultralytics/yolov5/workflows/CI%20CPU%20testing/badge.svg)\n",
         "\n",
-        "If this badge is green, all [YOLOv5 GitHub Actions](https://github.com/ultralytics/yolov5/actions) Continuous Integration (CI) tests are currently passing. CI tests verify correct operation of YOLOv5 training ([train.py](https://github.com/ultralytics/yolov5/blob/master/train.py)), testing ([val.py](https://github.com/ultralytics/yolov5/blob/master/val.py)), inference ([detect.py](https://github.com/ultralytics/yolov5/blob/master/detect.py)) and export ([export.py](https://github.com/ultralytics/yolov5/blob/master/export.py)) on MacOS, Windows, and Ubuntu every 24 hours and on every commit.\n"
+        "If this badge is green, all [YOLOv5 GitHub Actions](https://github.com/ultralytics/yolov5/actions) Continuous Integration (CI) tests are currently passing. CI tests verify correct operation of YOLOv5 training ([train.py](https://github.com/ultralytics/yolov5/blob/master/train.py)), testing ([val.py](https://github.com/ultralytics/yolov5/blob/master/val.py)), inference ([detect.py](https://github.com/ultralytics/yolov5/blob/master/detect.py)) and export ([export.py](https://github.com/ultralytics/yolov5/blob/master/export.py)) on macOS, Windows, and Ubuntu every 24 hours and on every commit.\n"
       ]
     },
     {
diff --git a/utils/loggers/wandb/README.md b/utils/loggers/wandb/README.md
index 63d999859..3e9c9fd38 100644
--- a/utils/loggers/wandb/README.md
+++ b/utils/loggers/wandb/README.md
@@ -149,4 +149,4 @@ YOLOv5 may be run in any of the following up-to-date verified environments (with
 
 ![CI CPU testing](https://github.com/ultralytics/yolov5/workflows/CI%20CPU%20testing/badge.svg)
 
-If this badge is green, all [YOLOv5 GitHub Actions](https://github.com/ultralytics/yolov5/actions) Continuous Integration (CI) tests are currently passing. CI tests verify correct operation of YOLOv5 training ([train.py](https://github.com/ultralytics/yolov5/blob/master/train.py)), validation ([val.py](https://github.com/ultralytics/yolov5/blob/master/val.py)), inference ([detect.py](https://github.com/ultralytics/yolov5/blob/master/detect.py)) and export ([export.py](https://github.com/ultralytics/yolov5/blob/master/export.py)) on MacOS, Windows, and Ubuntu every 24 hours and on every commit.
+If this badge is green, all [YOLOv5 GitHub Actions](https://github.com/ultralytics/yolov5/actions) Continuous Integration (CI) tests are currently passing. CI tests verify correct operation of YOLOv5 training ([train.py](https://github.com/ultralytics/yolov5/blob/master/train.py)), validation ([val.py](https://github.com/ultralytics/yolov5/blob/master/val.py)), inference ([detect.py](https://github.com/ultralytics/yolov5/blob/master/detect.py)) and export ([export.py](https://github.com/ultralytics/yolov5/blob/master/export.py)) on macOS, Windows, and Ubuntu every 24 hours and on every commit.
diff --git a/val.py b/val.py
index 48f396626..584143705 100644
--- a/val.py
+++ b/val.py
@@ -11,7 +11,7 @@ Usage - formats:
                                       yolov5s.onnx               # ONNX Runtime or OpenCV DNN with --dnn
                                       yolov5s.xml                # OpenVINO
                                       yolov5s.engine             # TensorRT
-                                      yolov5s.mlmodel            # CoreML (MacOS-only)
+                                      yolov5s.mlmodel            # CoreML (macOS-only)
                                       yolov5s_saved_model        # TensorFlow SavedModel
                                       yolov5s.pb                 # TensorFlow GraphDef
                                       yolov5s.tflite             # TensorFlow Lite