Football AI Tutorial: From Basics to Advanced Stats with Python

Let's build a Football AI system to dig deeper into match stats! We'll use computer vision and machine learning to track players, determine which team is which, and even calculate stuff like ball possession and speed. This tutorial is perfect if you want to get hands-on with sports analytics and see how AI can take your football analysis to the next level.

Chapters:

- 00:00:00 Football (Soccer) AI: The Next Level
- 00:00:58 Architectural Blueprint: Models & Tools for Football AI
- 00:03:14 YOLOv8 Fine-Tuning: Optimizing for Football Object Detection
- 00:12:22 Deploying YOLOv8 with Inference
- 00:27:37 ByteTrack: Robust Multi-Object Tracking
- 00:29:38 Embedding Analysis: Clustering Players with SigLIP & UMAP
- 00:51:46 Perspective Transformation: Homography Fundamentals
- 00:53:03 YOLOv8x-pose Training: Precise Pitch Landmark Detection
- 01:01:24 Keypoint Inference: Real-Time Pitch Understanding
- 01:06:27 Homography Application: Virtual Lines & Field Overlay
- 01:13:23 Top-Down Projection: Creating a Tactical Radar View
- 01:22:04 Spatial Analysis: Ball Territory
- 01:26:34 Implementation Challenges
- 01:28:29 Beyond the Basics: What Else is Possible?

Resources:

[giancarlocestarolli]

That’s an amazing video! Few people in the world provide such great content for free. 1 hour of pure learning.

[benephr]

i lost it when "it's called football"😂THAT'S RIGHT BROOOO!

[schneidershades]

Thank you so much. I got into Object detection and python with your guidance and help in just 2 months to solve problems in the football infrastructure. Thank you

[Xero_Wolf]

The second he said we call the sport Football I liked and subscribed.

[calebcauthon]

your initial tutorial was my intro to computer vision and helped me get pretty far. this one has lots of unblockers. I was doing homography before, but I didnt know about keypoint detection. another unblocker is the specifics of how you did classes for training. should help me a lot!

[mind]

Very true 🤣
Nothing is free except your tutorials

Thank you for your efforts 🌹🌹

[aishidiot]

This is absolutely GOLD ! Haven't watched it but it's on my list. Have been following your updates on TW !

[wiLsonChoO]

We don’t have to be an AI guru because you are the guru. Keep going, very good tutorial!

[viveksapkale]

Your video provides valuable insights into computer vision, and we truly appreciate the depth of information you share. it helps many of us learn and grow. Thank you for your dedication and efforts! 😊

[FranciscoBerkemeier]

You could probably now train player movement to deduce a realistic model for video games! Probably moving away from Python I guess, but that would be extraordinary, with tweakable speed and intelligence, even if resolution is relatively low. Suggestion is better than perfection. Wonderful stuff!

[GhostPG]

This will be one of the best projects I could've ever wished for❤️
Thanks a lot Sir

[hopelessenglish]

Thank you for encouraging me to pursue a career in this field with your videos :)

[daferrari]

from Indonesia wanna say, thank you, the video so clear and easy to underestand, moreover enthusiast like me...

[muhammadsaqib]

Amazing channel with clear and well-structured tutorials by a wonderful instructor.

[RyanGooch-tn]

Amazing video, thanks for sharing! I did my postdoc research in computer vision, using similar techniques, including even the perspective transforms, to ultimately automate error calculations for solar mirrors. I feel your pain on the keypoint labeling, that takes forever :'). Even though that was only 4 years ago, it's amazing how much progress has been made and how much easier it is to manage these models, datasets, and transformations. My postdoc work would have been so much easier in 2024 than it was in 2020, thanks to these developments and tutorials like yours 😁

[handmadefiction]

thanks a lot. I am currently applying this to field hockey. I have completed player object detection and am working on pitch keypoint detection.

[skipius]

Thank you so much for this video. Im currently working on getting it to work for my volleyball matches.

[khanhtuongtranlam]

Thank you. I am researching for my final project at my university. My topic is the same one you made. I hope we can discuss it more. Thank you so much, bro.

[cynorsense]

Amazing video. 100 worth every minute. Also stitching across various cameras is also very interesting thought. How about using the AI agent to do the training part for every use case we work on ?

[alvarofelipe]

Amazing video, thanks bro. You are my hero in CV