Multi-Object Tracking with Ultralytics YOLO
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Multi-Object Tracking with Ultralytics YOLO
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About this listen
In this episode, we break down how to build Multi-Object Tracking (MOT) pipelines using Ultralytics YOLO detectors for real-time video analytics.
🔹 Key Highlights:
MOT Basics: From per-frame detection to identity persistence across frames
YOLO as the Detector: Using YOLOv8/v10/v11 for fast, accurate object boxes
Trackers That Click: DeepSORT, ByteTrack, and BoT-SORT—data association, motion models & re-ID
Metrics That Matter: MOTA, IDF1, HOTA, FPS—how to evaluate tracking quality and speed
Training & Tuning: Fine-tune YOLO on custom data, adjust confidence/NMS, and calibrate tracker thresholds
Deployment: Edge and server pipelines, ONNX/TensorRT export, and camera-to-dashboard workflows
Can YOLO-powered MOT deliver robust, real-time insights in crowded, dynamic scenes? 🤔
🎧 Tune in to learn how to design, train, and deploy a production-ready MOT system!