ultralytics 8.2.22 Parking Management Solution fix (#13122)

Co-authored-by: UltralyticsAssistant <web@ultralytics.com>
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>

docs/en/guides/parking-management.md

@@ -38,13 +38,14 @@ Parking management with [Ultralytics YOLOv8](https://github.com/ultralytics/ultr
 
     Max Image Size of 1920 * 1080 supported
 
-```python
-from ultralytics.solutions.parking_management import ParkingPtsSelection, tk
+!!! Example "Parking slots Annotator Ultralytics YOLOv8"
 
-root = tk.Tk()
-ParkingPtsSelection(root)
-root.mainloop()
-```
+    === "Parking Annotator"
+
+        ```python
+        from ultralytics import solutions
+        solutions.ParkingPtsSelection()
+        ```
 
 - After defining the parking areas with polygons, click `save` to store a JSON file with the data in your working directory.
 

docs/en/guides/speed-estimation.md

@@ -8,7 +8,7 @@ keywords: Ultralytics, YOLOv8, Object Detection, Speed Estimation, Object Tracki
 
 ## What is Speed Estimation?
 
-Speed estimation is the process of calculating the rate of movement of an object within a given context, often employed in computer vision applications. Using [Ultralytics YOLOv8](https://github.com/ultralytics/ultralytics/) you can now calculate the speed of object using [object tracking](../modes/track.md) alongside distance and time data, crucial for tasks like traffic and surveillance. The accuracy of speed estimation directly influences the efficiency and reliability of various applications, making it a key component in the advancement of intelligent systems and real-time decision-making processes.
+[Speed estimation](https://www.ultralytics.com/blog/ultralytics-yolov8-for-speed-estimation-in-computer-vision-projects) is the process of calculating the rate of movement of an object within a given context, often employed in computer vision applications. Using [Ultralytics YOLOv8](https://github.com/ultralytics/ultralytics/) you can now calculate the speed of object using [object tracking](../modes/track.md) alongside distance and time data, crucial for tasks like traffic and surveillance. The accuracy of speed estimation directly influences the efficiency and reliability of various applications, making it a key component in the advancement of intelligent systems and real-time decision-making processes.
 
 <p align="center">
   <br>
@@ -21,6 +21,10 @@ Speed estimation is the process of calculating the rate of movement of an object
   <strong>Watch:</strong> Speed Estimation using Ultralytics YOLOv8
 </p>
 
+!!! tip "Check Out Our Blog"
+
+    For deeper insights into speed estimation, check out our blog post: [Ultralytics YOLOv8 for Speed Estimation in Computer Vision Projects](https://www.ultralytics.com/blog/ultralytics-yolov8-for-speed-estimation-in-computer-vision-projects)
+
 ## Advantages of Speed Estimation?
 
 - **Efficient Traffic Control:** Accurate speed estimation aids in managing traffic flow, enhancing safety, and reducing congestion on roadways.

docs/en/models/yolov10.md

@@ -1,7 +1,7 @@
 ---
 comments: true
-description: Explore the YOLOv10, a real-time object detector. Understand its superior speed, impressive accuracy, and unique approach to end-to-end object detection optimization.
-keywords: YOLOv10, real-time object detector, state-of-the-art, Tsinghua University, COCO dataset, NMS-free training, holistic model design, efficient architecture
+description: Discover YOLOv10, a cutting-edge real-time object detector known for its exceptional speed and accuracy. Learn about NMS-free training, holistic model design, and performance across various scales.
+keywords: YOLOv10, real-time object detection, Tsinghua University, COCO dataset, NMS-free training, efficient architecture, object detection optimization, state-of-the-art AI
 ---
 
 # YOLOv10: Real-Time End-to-End Object Detection