Ultralytics YOLO11 | Training, Inference, Benchmarking, and Deployment Explained! 🚀 - How to Run Instance and Semantic Segmentation with Ultralytics YOLO11 in Python | Ultralytics YOLO 🚀

Master instance and semantic segmentation with Ultralytics YOLO models — all in Python! This hands-on tutorial walks you through key segmentation techniques, clarifying the differences between instance and semantic segmentation with clear visual examples. You’ll explore real-world applications and learn how to implement everything efficiently using Ultralytics’ streamlined codebase. Key highlights: 00:00 - Introduction to instance and semantic segmentation 00:40 - Ultralytics instance segmentation blog walkthrough 02:25 - What is panoptic segmentation? 03:30 - Advantages of Ultralytics YOLO models 03:59 - Raw video for testing: Horse walking 04:08 - Instance segmentation code example in Python 06:52 - Semantic segmentation code example in Python 07:37 - Side-by-side comparison of instance vs semantic segmentation 07:46 - Conclusion and summary Code ➡️ https://drive.google.com/file/d/1dQXOHxYRR6jGdR_gaz16njErIKUpmw3W/view?usp=sharing 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 #segmentation #yolo #computervision #ai #machinelearning #deeplearning