diff --git a/wyzely_detect/utils/cli_args.py b/wyzely_detect/utils/cli_args.py
index e8a88bb..dcf2766 100644
--- a/wyzely_detect/utils/cli_args.py
+++ b/wyzely_detect/utils/cli_args.py
@@ -15,16 +15,35 @@ def set_argparse():
     else:
         print("No .env file found")
 
+
+    # One important thing to consider is that most function parameters are optional and have a default value
+    # However, with argparse, those are never used since a argparse always passes something, even if it's None
     argparser = argparse.ArgumentParser(
         prog="Wyzely Detect",
         description="Recognize faces/objects in a video stream (from a webcam or a security camera) and send notifications to your devices",  # noqa: E501
         epilog=":)",
     )
 
-    # One important thing to consider is that most function parameters are optional and have a default value
-    # However, with argparse, those are never used since a argparse always passes something, even if it's None
 
-    argparser.add_argument(
+    video_options = argparser.add_argument_group("Video Options")
+    stream_source = video_options.add_mutually_exclusive_group()
+    stream_source.add_argument(
+        "--rtsp-url",
+        default=os.environ["RTSP_URL"]
+        if "RTSP_URL" in os.environ and os.environ["RTSP_URL"] != ""
+        else None,  # noqa: E501
+        type=str,
+        help="RTSP camera URL",
+    )
+    stream_source.add_argument(
+        "--capture-device",
+        default=os.environ["CAPTURE_DEVICE"]
+        if "CAPTURE_DEVICE" in os.environ and os.environ["CAPTURE_DEVICE"] != ""
+        else 0,  # noqa: E501
+        type=int,
+        help="Capture device number",
+    )
+    video_options.add_argument(
         "--run-scale",
         # Set it to the env RUN_SCALE if it isn't blank, otherwise set it to 0.25
         default=os.environ["RUN_SCALE"]
@@ -34,7 +53,7 @@ def set_argparse():
         type=float,
         help="The scale to run the detection at, default is 0.25",
     )
-    argparser.add_argument(
+    video_options.add_argument(
         "--view-scale",
         # Set it to the env VIEW_SCALE if it isn't blank, otherwise set it to 0.75
         default=os.environ["VIEW_SCALE"]
@@ -45,7 +64,7 @@ def set_argparse():
         help="The scale to view the detection at, default is 0.75",
     )
 
-    argparser.add_argument(
+    video_options.add_argument(
         "--no-display",
         default=os.environ["NO_DISPLAY"]
         if "NO_DISPLAY" in os.environ and os.environ["NO_DISPLAY"] != ""
@@ -54,69 +73,7 @@ def set_argparse():
         help="Don't display the video feed",
     )
 
-    argparser.add_argument(
-        "--object-confidence-threshold",
-        default=os.environ["OBJECT_CONFIDENCE_THRESHOLD"]
-        if "OBJECT_CONFIDENCE_THRESHOLD" in os.environ
-        and os.environ["OBJECT_CONFIDENCE_THRESHOLD"] != ""
-        else 0.6,
-        type=float,
-        help="The confidence threshold to use",
-    )
-    argparser.add_argument(
-        "--face-confidence-threshold",
-        default=os.environ["FACE_CONFIDENCE_THRESHOLD"]
-        if "FACE_CONFIDENCE_THRESHOLD" in os.environ
-        and os.environ["FACE_CONFIDENCE_THRESHOLD"] != ""
-        else 0.3,
-        type=float,
-        help="The confidence (currently cosine similarity) threshold to use for face recognition",
-    )
-    argparser.add_argument(
-        "--faces-directory",
-        default=os.environ["FACES_DIRECTORY"]
-        if "FACES_DIRECTORY" in os.environ and os.environ["FACES_DIRECTORY"] != ""
-        else "faces",
-        type=str,
-        help="The directory to store the faces. Can either contain images or subdirectories with images, the latter being the preferred method",  # noqa: E501
-    )
-    argparser.add_argument(
-        "--no-remove-representations",
-        default=os.environ["NO_REMOVE_REPRESENTATIONS"]
-        if "NO_REMOVE_REPRESENTATIONS" in os.environ
-        and os.environ["NO_REMOVE_REPRESENTATIONS"] != ""
-        else False,
-        action="store_true",
-        help="Don't remove representations_<model>.pkl at the start of the program. Greatly improves startup time, but doesn't take into account changes to the faces directory since it was created",  # noqa: E501
-    )
-    argparser.add_argument(
-        "--detect-object",
-        nargs="*",
-        default=[],
-        type=str,
-        help="The object(s) to detect. Must be something the model is trained to detect",
-    )
 
-    stream_source = argparser.add_mutually_exclusive_group()
-    stream_source.add_argument(
-        "--rtsp-url",
-        default=os.environ["RTSP_URL"]
-        if "RTSP_URL" in os.environ and os.environ["RTSP_URL"] != ""
-        else None,  # noqa: E501
-        type=str,
-        help="The RTSP URL to use",
-    )
-    stream_source.add_argument(
-        "--capture-device",
-        default=os.environ["CAPTURE_DEVICE"]
-        if "CAPTURE_DEVICE" in os.environ and os.environ["CAPTURE_DEVICE"] != ""
-        else 0,  # noqa: E501
-        type=int,
-        help="The capture device to use",
-    )
-
-    # Defaults for the stuff here and down are already set in notify.py.
-    # Setting them here just means that argparse will display the default values as defualt
     notifcation_services = argparser.add_argument_group("Notification Services")
     notifcation_services.add_argument(
         "--ntfy-url",
@@ -153,6 +110,56 @@ def set_argparse():
         type=int,
         help="The time (seconds) before another notification can be sent",
     )
+
+
+    face_recognition = argparser.add_argument_group("Face Recognition options")
+    face_recognition.add_argument(
+        "--faces-directory",
+        default=os.environ["FACES_DIRECTORY"]
+        if "FACES_DIRECTORY" in os.environ and os.environ["FACES_DIRECTORY"] != ""
+        else "faces",
+        type=str,
+        help="The directory to store the faces. Can either contain images or subdirectories with images, the latter being the preferred method",  # noqa: E501
+    )
+    face_recognition.add_argument(
+        "--face-confidence-threshold",
+        default=os.environ["FACE_CONFIDENCE_THRESHOLD"]
+        if "FACE_CONFIDENCE_THRESHOLD" in os.environ
+        and os.environ["FACE_CONFIDENCE_THRESHOLD"] != ""
+        else 0.3,
+        type=float,
+        help="The confidence (currently cosine similarity) threshold to use for face recognition",
+    )
+    face_recognition.add_argument(
+        "--no-remove-representations",
+        default=os.environ["NO_REMOVE_REPRESENTATIONS"]
+        if "NO_REMOVE_REPRESENTATIONS" in os.environ
+        and os.environ["NO_REMOVE_REPRESENTATIONS"] != ""
+        else False,
+        action="store_true",
+        help="Don't remove representations_<model>.pkl at the start of the program. Greatly improves startup time, but doesn't take into account changes to the faces directory since it was created",  # noqa: E501
+    )
+
+
+
+    object_detection = argparser.add_argument_group("Object Detection options")
+    object_detection.add_argument(
+        "--detect-object",
+        nargs="*",
+        default=[],
+        type=str,
+        help="The object(s) to detect. Must be something the model is trained to detect",
+    )
+    object_detection.add_argument(
+        "--object-confidence-threshold",
+        default=os.environ["OBJECT_CONFIDENCE_THRESHOLD"]
+        if "OBJECT_CONFIDENCE_THRESHOLD" in os.environ
+        and os.environ["OBJECT_CONFIDENCE_THRESHOLD"] != ""
+        else 0.6,
+        type=float,
+        help="The confidence threshold to use",
+    )
+
     # return argparser