Ultralytics YOLO11 | Training, Inference, Benchmarking, and Deployment Explained! 🚀 - How to count Ships using Ultralytics YOLO11 Oriented Bounding Boxes (YOLO11-OBB) | Object Counting 🚀

In this tutorial, we delve into the application of Ultralytics YOLO11 Oriented Bounding Boxes (OBB), exploring its documentation, implementation, and real-world applications. You'll gain a comprehensive understanding of OBB object counting, from its technical fundamentals to a live demonstration of counting ships. Discover valuable insights into using YOLO11 for accurate object detection and counting. Key Highlights: 00:00 - Introduction: Ultralytics YOLO11 Oriented Bounding Boxes. 00:26 - Ultralytics Documentation Walkthrough 01:40 - OBB Object Counting Overview: Exploring its significance and methodology. 02:01 - Python Code Walkthrough: A step-by-step guide to counting ships using OBB. 03:13 - Live Demo: Real-time ship counting demonstration. 04:10 - Conclusion and Summary: Key takeaways and practical insights. Explore more ➡️ https://docs.ultralytics.com/guides/object-counting/ 🔗 Key Ultralytics Resources: 🏢 About Us: https://ultralytics.com/about 💼 Join Our Team: https://ultralytics.com/work 📞 Contact Us: https://ultralytics.com/contact 💬 Discord Community: https://discord.com/invite/ultralytics 📄 Ultralytics License: https://ultralytics.com/license 🔬 Ultralytics YOLO Resources: 💻 GitHub Repository: https://github.com/ultralytics/ 📚 Documentation: https://docs.ultralytics.com/ Stay updated with our latest innovations in AI and computer vision. Subscribe to our channel for tutorials, product updates, and insights from industry experts! #Ultralytics #YOLO #ComputerVision #AI #machinelearningtraining #DeepLearning