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How to do Object Counting in Different Regions using Ultralytics YOLO11 | Ultralytics Solutions πŸš€
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Ultralytics YOLO11 | Training, Inference, Benchmarking, and Deployment Explained! πŸš€ - How to do Object Counting in Different Regions using Ultralytics YOLO11 | Ultralytics Solutions πŸš€

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18 learners

What you'll learn

This course includes

  • 15 hours of video
  • Certificate of completion
  • Access on mobile and TV

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Join us in this detailed walkthrough as we explore the powerful Region Counting feature using Ultralytics YOLO11. This session covers everything from setting up your environment to running live demos for object counting within specified regions. You'll gain a step-by-step understanding of how to leverage this module for your projects, with practical examples and insights into using custom models and arguments effectively. Key Highlights: 00:00 - Introduction: Overview of the session and key objectives. 00:41 - Ultralytics Documentation Walkthrough: A tour through the object counting in region documentation. 01:18 - Installation Guide: Learn how to install the required libraries and clone the Ultralytics GitHub repository. 01:42 - Object Counting Code Overview: A detailed explanation of the region counting code structure. 03:08 - Custom Model and Arguments: Insights into using custom model files and configuring arguments. 03:57 - Using YOLO11 with Region Counting: How to effectively integrate YOLO11 with the region counting module. 04:44 - Object Counting in Regions Demo: Live demo showcasing the power of Ultralytics YOLO11 in region-based object counting. 06:11 - Conclusion and Summary: Key takeaways and next steps for mastering region counting. Explore more ➑️ https://docs.ultralytics.com/guides/region-counting/ πŸ”— Key Ultralytics Resources: 🏒 About Us: https://ultralytics.com/about πŸ’Ό Join Our Team: https://ultralytics.com/work πŸ“ž Contact Us: https://ultralytics.com/contact πŸ’¬ Discord Community: https://discord.com/invite/ultralytics πŸ“„ Ultralytics License: https://ultralytics.com/license πŸ”¬ Ultralytics YOLO Resources: πŸ’» GitHub Repository: https://github.com/ultralytics/ πŸ“š 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 #MachineLearning #DeepLearning

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