Object Detection, Segmentation, Tracking, and Pose Estimation using Ultralytics YOLO | Episode 13
Join Nicolai Nielsen in Episode 13 of our Ultralytics YOLO series, where we delve into the capabilities of YOLOv8 for object detection, segmentation, tracking, and pose estimation—all executed with just a few lines of code.
In this video, Nicolai walks you through practical examples and real-time demonstrations of YOLOv8's diverse applications. You'll learn how to seamlessly train YOLO models using Ultralytics HUB, a no-code platform designed to simplify AI model management. From detecting and segmenting objects in images to classifying and tracking them over time, this episode covers it all. Plus, discover how YOLOv8 can estimate human poses by identifying key points like elbows, shoulders, and knees.
📊 Key Highlights:
Object Detection: Identify and locate objects within an image or video.
Segmentation: Generate masks for precise object boundaries.
Classification: Categorize objects into predefined classes.
Pose Estimation: Detect key points of the human body for posture analysis.
Object Tracking: Follow objects across frames, useful for surveillance and analytics.
Explore hands-on examples where Nicolai demonstrates:
Real-time object detection with high confidence scores.
Segmentation masks for various objects like buses and people.
Pose estimation to identify body key points in images.
Object tracking using video sources and assigning unique IDs.
🔍 Dive deeper into these topics with our comprehensive resources:
YOLOv8 Documentation: https://docs.ultralytics.com/models/y...
How to Train Your Custom Models with Ultralytics HUB: https://www.ultralytics.com/blog/how-...
Object Detection and Tracking with Ultralytics YOLOv8: https://www.ultralytics.com/blog/obje...
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🏠 Ultralytics Home: https://www.ultralytics.com
🚀 Ultralytics HUB: https://www.ultralytics.com/hub
📚 AI Insights Blog: https://www.ultralytics.com/blog
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