Ultralytics YOLO11 | Training, Inference, Benchmarking, and Deployment Explained! 🚀 - How to Use Meta’s SAM 2 with Ultralytics in Google Colab | Segment Anything, Auto-Annotate & More 🚀

In this tutorial, you'll learn how to use Meta's SAM 2 (Segment Anything 2) with the Ultralytics Python package, explore its Segment Everything mode, Segment Anything using point and box prompts, and automate your annotation workflows all inside the Google Colab notebook. Key highlights: 00:00 - Introduction to Meta's Segment Anything 2 (SAM 2) model 00:57 - Quick walkthrough of SAM 2 documentation 01:43 - Understanding the memory mechanism in SAM 2 02:01 - How to use SAM 2 with Ultralytics in Google Colab 03:05 - Using the Segment Everything feature of SAM 2 05:48 - Segment Anything with point and box prompts 07:50 - How to perform auto-annotation using SAM 2 10:34 - Final thoughts and summary 🔗 Colab notebook ➡️ https://github.com/ultralytics/notebooks/blob/main/notebooks/inference-with-meta-sam-and-sam2-using-ultralytics-python-package.ipynb 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 #computervision #sam2 #meta #machinelearning #deeplearning #yolo #ultralytics