MuhammadMoinFaisal/YOLOv8-DeepSORT-Object-Tracking resource

Health v2 · maintenance only

Flags: no_releases no_license

Adoption not part of the score

1176 stars · 274 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A Jupyter Notebook and script repository demonstrating YOLOv8 object detection combined with DeepSORT multi-object tracking, including IDs and trails, on videos. It also covers vehicle counting and speed estimation use cases with runnable Google Colab notebooks.

Use cases

• track objects in video with unique ids and trails
• count vehicles crossing a line in a video
• estimate vehicle speed from footage
• run yolov8 detection with deepsort tracking
• learn object tracking with a step-by-step tutorial
• detect and track objects on custom data

When to choose

• you want a quick runnable demo or Colab notebook for YOLOv8 + DeepSORT tracking
• you need vehicle counting or speed estimation examples to adapt
• you are learning object tracking and want a video walkthrough

When to avoid

• you need a production-ready, maintained tracking library
• you require a permissively licensed project (no license is specified)
• you want a pip-installable package rather than a fork of ultralytics code

Facets

learning-resource · maturity maintenance

computer-vision image-processing machine-learning deep-learning computer-vision machine-learning deep-learning python cross-platform yolov8 deepsort object-tracking object-detection vehicle-counting opencv pytorch jupyter-notebook tutorial video gpu

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