Add traffic tracking code

Author: LJ-Hao

README.md

@@ -24,7 +24,7 @@ This course is designed to teach you how to harness the power of AI on the Raspb
 |                                                                        Raspberry Pi AI Kit                                                                         |                                                              reComputer R1000                                                              |                                                                         Raspberry Pi 5                                                                          |
 | :----------------------------------------------------------------------------------------------------------------------------------------------------------------: | :----------------------------------------------------------------------------------------------------------------------------------------: | :-------------------------------------------------------------------------------------------------------------------------------------------------------------: |
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-|                                          [**Purchase Now**](https://www.seeedstudio.com/Raspberry-Pi-AI-Kit-p-5900.html)                                           |                              [**Purchase Now**](https://www.seeedstudio.com/reComputer-R1035-10-p-5925.html)                               |                                         [**Purchase Now**](https://www.seeedstudio.com/Raspberry-Pi-5-8GB-p-5810.html)                                          |
+|                                          [**Purchase Now**](https://www.seeedstudio.com/Raspberry-Pi-AI-Kit-p-5900.html?utm_source=course)                                           |                              [**Purchase Now**](https://www.seeedstudio.com/reComputer-R1035-10-p-5925.html?utm_source=course)                               |                                         [**Purchase Now**](https://www.seeedstudio.com/Raspberry-Pi-5-8GB-p-5810.html?utm_source=course)                                          |
 
 
 ## 📝 Contents

articles/Chapter 5 - Custom Model Development and Deployment/Training Your Model.ipynb

@@ -409,7 +409,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "# Step 3: Training Yolo11n\n",
+    "# Step 3: Training Yolov8n\n",
     "\n",
     "YOLOv11 is the latest version in the YOLO (You Only Look Once) series developed by Ultralytics, following previous iterations like YOLOv5 and YOLOv8. It retains the key features of earlier versions, focusing on real-time object detection with improvements in speed, accuracy, and versatility across various tasks, such as object detection, segmentation, classification, and pose estimation."
    ]