Dive into the world of advanced AI with Ultralytics’ YOLOv8! 🌟 In this episode, join Nicolai Nielsen as he demonstrates the powerful capabilities of YOLOv8 for human pose estimation. From setting up the model to running real-time inference on videos and webcams, this tutorial covers everything you need to get started.

In this video, you will:
- Understand the basics of pose estimation and its applications in AI trainers and motion capture.
- Learn how to set up YOLOv8 for pose estimation using custom Python scripts.
- Explore the versatility of YOLOv8, which can switch between object detection, segmentation, and pose estimation tasks with ease.
- See live demonstrations of YOLOv8 running on a webcam, detecting key points on the body with impressive speed and accuracy.

Experience the seamless integration of YOLOv8 with various tasks and see how it stands out as a multi-purpose model for diverse computer vision challenges. Whether you’re using it for AI trainers, motion capture, or any other application, YOLOv8’s adaptability makes it a game-changer.

🌟YOLO Vision 2024 (YV24), our annual hybrid Vision AI event is just days away! Happening on 27th September 2024 at Google for Startups Campus, Madrid.! Watch live on:
🔗 YouTube: [ Ссылка ]
🔗 Bilibili: [ Ссылка ]

🔗 Useful Links:
- Pose Estimation with Ultralytics YOLOv8 Blog: [ Ссылка ]
- Ultralytics Docs: [ Ссылка ]
- Ultralytics HUB: [ Ссылка ]
- Join Our Team: [ Ссылка ]

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#YOLOv8 #PoseEstimation #Ultralytics #AI #ComputerVision #MachineLearning

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