Ultralytics YOLO11 | Training, Inference, Benchmarking, and Deployment Explained! 🚀 - How to Use the Ultralytics Reference Section to Understand Functions and Classes in the Package 🚀

This tutorial walks you through the Ultralytics Reference Section, helping you navigate function and class documentation inside the Ultralytics package. Learn how to explore different reference categories, access source code, and use provided code examples for training, inference, and model export in Google Colab. Key highlights: 00:00 - Introduction to Ultralytics Reference Section 00:49 - Different types of References: Engine, Solutions, Annotator 01:47 - Model Reference Section Overview 03:10 - Walkthrough on the code behind the `model.predict` 04:00 - Information about the Prediction Results 05:28 - Data Reference Section Overview: Data Loader, Data Augmentation 06:51 - How to access the Source Code Inside the Reference Section 08:02 - How to use Code Examples in the Reference Section in Google Colab (Training, Validation, Prediction, Export) 11:31 - Conclusion and Summary Explore the Reference Section ➡️ https://docs.ultralytics.com/reference/cfg/__init__/ 🔬 Ultralytics YOLO Resources: 💻 GitHub Repository: https://github.com/ultralytics/ 📚 Documentation: https://docs.ultralytics.com/ #Ultralytics #YOLO #ComputerVision #AI #reference #DeepLearning