diff --git a/ultralytics/solutions/ai_gym.py b/ultralytics/solutions/ai_gym.py
index 26f22d70..02345749 100644
--- a/ultralytics/solutions/ai_gym.py
+++ b/ultralytics/solutions/ai_gym.py
@@ -31,7 +31,7 @@ class AIGym(BaseSolution):
 
     def monitor(self, im0):
         """
-        Monitor the workouts using Ultralytics YOLOv8 Pose Model: https://docs.ultralytics.com/tasks/pose/.
+        Monitor the workouts using Ultralytics YOLO Pose Model: https://docs.ultralytics.com/tasks/pose/.
 
         Args:
             im0 (ndarray): The input image that will be used for processing
diff --git a/ultralytics/solutions/parking_management.py b/ultralytics/solutions/parking_management.py
index ef58ad62..3a1cd219 100644
--- a/ultralytics/solutions/parking_management.py
+++ b/ultralytics/solutions/parking_management.py
@@ -143,7 +143,7 @@ class ParkingPtsSelection:
 
 
 class ParkingManagement:
-    """Manages parking occupancy and availability using YOLOv8 for real-time monitoring and visualization."""
+    """Manages parking occupancy and availability using YOLO model for real-time monitoring and visualization."""
 
     def __init__(
         self,
@@ -153,10 +153,10 @@ class ParkingManagement:
         available_region_color=(0, 255, 0),  # available region color
     ):
         """
-        Initializes the parking management system with a YOLOv8 model and visualization settings.
+        Initializes the parking management system with a YOLO model and visualization settings.
 
         Args:
-            model (str): Path to the YOLOv8 model.
+            model (str): Path to the YOLO model.
             json_file (str): file that have all parking slot points data
             occupied_region_color (tuple): RGB color tuple for occupied regions.
             available_region_color (tuple): RGB color tuple for available regions.
diff --git a/ultralytics/solutions/streamlit_inference.py b/ultralytics/solutions/streamlit_inference.py
index ea85cffb..f38cceb3 100644
--- a/ultralytics/solutions/streamlit_inference.py
+++ b/ultralytics/solutions/streamlit_inference.py
@@ -11,7 +11,7 @@ from ultralytics.utils.downloads import GITHUB_ASSETS_STEMS
 
 
 def inference(model=None):
-    """Runs real-time object detection on video input using Ultralytics YOLOv8 in a Streamlit application."""
+    """Runs real-time object detection on video input using Ultralytics YOLO11 in a Streamlit application."""
     check_requirements("streamlit>=1.29.0")  # scope imports for faster ultralytics package load speeds
     import streamlit as st