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:
- Roboflow: https://roboflow.com
🔴 Community Session Aug 29th, 2024 at 08:00 AM PST / 11:00 AM EST / 05:00 PM CET: https://roboflow.stream
- ⚽ Roboflow Sports repository: https://github.com/roboflow/sports
- 🏞️ ball, players, and referees detection dataset: https://universe.roboflow.com/roboflow-jvuqo/football-players-detection-3zvbc
- 🏞️ pitch keypoints detection dataset: https://universe.roboflow.com/roboflow-jvuqo/football-field-detection-f07vi
- 📓 ball, players, and referees detection model training notebook: https://colab.research.google.com/github/roboflow/sports/blob/main/examples/soccer/notebooks/train_player_detector.ipynb
- 📓 pitch keypoints detection model training notebook: https://colab.research.google.com/github/roboflow/sports/blob/main/examples/soccer/notebooks/train_pitch_keypoint_detector.ipynb
- 📓 football AI notebook: https://colab.research.google.com/drive/1R4uwyb889oKm65iUROGB8VKbBf-k9A6m?usp=sharing
- ⚽ Ball Tracking in Sports with Computer Vision blog post: https://blog.roboflow.com/tracking-ball-sports-computer-vision/
- ⚽ Camera Calibration in Sports with Keypoints blog post: https://blog.roboflow.com/camera-calibration-sports-computer-vision/
Stay updated with the projects I'm working on at https://github.com/roboflow and https://github.com/SkalskiP! ⭐
https://www.youtube.com/watch?v=aBVGKoNZQUw