Master YOLO Object Tracking in Minutes: Beginner-Friendly Setup for Any Device in 2025

In this hands-on tutorial, you'll learn how to master YOLO object tracking in minutes using a beginner-friendly setup that works on any device—even in 2025! I break down every step, from cloning the Ultralytics GitHub repo to installing all required modules, and running both an official YOLO11 demo alongside custom aerial footage using a tailor-made YOLO model for drones.

Chapters:
00:00 - Intro
00:10 - Aerial Footage Tracking Demo with Unidrone
00:35 - YOLO 11 Demo Tracking in a Mall
01:35 - Instructions to Run the Demo
06:20 - Test with Webcam Feed Live (CPU)
07:15 - Test with Offline Video (GPU)
08:40 - Outro

What You'll Discover:
• A step-by-step walkthrough for setting up an interactive object tracking demo with YOLO.
• How the interactive tracker instantly displays all detected objects—click on an object to see a cool, scope-style overlay and its precise position on screen.
• Two exciting demos: one featuring the official YOLO11 model and another showcasing aerial footage with our custom-tuned YOLO model.
• Compatibility insights for running the demo on CPUs, GPUs, and even on platforms like Raspberry Pi.
• A glimpse into the power of YOLO—train it to detect almost anything (more on that in future videos).

Useful Links:
• Ultralytics Official Repo: https://github.com/ultralytics/ultral...
• Demo Code Read Me Page: https://github.com/ultralytics/ultral...
• PyTorch Custom Install for GPU Devices: https://pytorch.org/get-started/locally/
• Unidrone YOLO Model: https://huggingface.co/StephanST/unid...
• My LinkedIn:   / alireza787b  

Copyright Credits:
The tracking demo incorporates sample raw footage sourced from the following YouTube videos (used for demonstration purposes only):
•    • The World’s Biggest Mall in TEHRAN 🇮🇷 IRAN...  
•    • Tehran, Iran 🇮🇷 in Video by Drone /Relaxin...  
All footage belongs to their respective owners.

If you’re passionate about computer vision, object tracking, robotics, drones, and smart embedded systems, this tutorial is your gateway into the future of YOLO and AI. If you enjoyed this video, please like, comment, and subscribe for more in-depth tutorials. Hit the bell icon to get notified of future releases!

Happy tracking and see you in the next video!

Keywords:
YOLO, object tracking, real-time detection, computer vision, YOLO11, Python, robotics, drones, aerial footage, Unidrone, Ultralytics, embedded systems, AI tutorial, deep learning, beginner-friendly, Raspberry Pi, GPU, CPU, smart robots, object detection, AI, 2025, interactive tracker, vision system, drone technology, aerial robotics, advanced tracking demo