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Real-Time Object Tracking with OC-SORT

Want to learn real-time multi-object tracking using OC-SORT? In this tutorial, we break down the OC-SORT paper, explain how it improves over SORT, and walk you through practical implementation using YOLO, BoxMOT, and sample videos. From tracking people and cars to planes and overlapping objects, see OC-SORT in action!

Resources:
Notebook: https://github.com/Labellerr/Hands-On-Learning-in-Computer-Vision/tree/main/Model%20Notebooks/OC-SORT
Blog: https://www.labellerr.com/blog/oc-sort/
Explore our GitHub for more computer vision and machine learning projects.

🔗 GitHub: https://github.com/Labellerr/Hands-On-Learning-in-Computer-Vision
📌 Topics Covered:

- OC-SORT Paper Overview
- Observation-Centric Design
- Real-Time Tracking Demo
- YOLO + BoxMOT Integration
- Handling Occlusion & Complex Motion

Interested in learning more about our services?
Website: https://www.labellerr.com
Book a Demo: https://www.labellerr.com/book-a-demo

Find us on Social Media Platforms:
LinkedIn: / labellerr
Twitter: https://x.com/Labellerr1
#OCSORT #ObjectTracking #MultiObjectTracking #YOLOv8 #BoxMOT #ComputerVision #MachineLearning #AIVideoTracking #PythonAI #RealTimeTracking #SurveillanceAI #SelfDrivingCars #MLProjects #SportsAnalytics #AIResearch #DeepLearningProjects #OpenSourceAI #TrackingAlgorithm #VideoAnalytics #Labellerr

Видео Real-Time Object Tracking with OC-SORT канала Labellerr
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