# MuhammadMoinFaisal/YOLOv8-DeepSORT-Object-Tracking

YOLOv8 Object Tracking using PyTorch, OpenCV and DeepSORT

Repository: https://github.com/MuhammadMoinFaisal/YOLOv8-DeepSORT-Object-Tracking
Canonical: https://ross.abutalabs.com/products/yolov8-deepsort-object-tracking
Language: Jupyter Notebook
License Family: other
Topics: object-detection, object-tracking, objecttracking, speed-estimation, vehicle-counting, yolo, yolov8, yolov8-deepsort, object-counting
Last push: 2023-03-04T16:14:00+00:00

## Health v2 (maintenance only)
Score: 31/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 95
- inputs: {"age_days": 1330, "days_push": 1278, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1176, forks 274 (observed 2026-08-28T04:03:52.698769+00:00)

## What it is
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
- artifact type: learning-resource
- maturity: maintenance
- function: computer-vision, image-processing, machine-learning, deep-learning
- domain: computer-vision, machine-learning, deep-learning
- platform: python, cross-platform
- tags: yolov8, deepsort, object-tracking, object-detection, vehicle-counting, opencv, pytorch, jupyter-notebook, tutorial, video, gpu

## Member repositories
- MuhammadMoinFaisal/YOLOv8-DeepSORT-Object-Tracking (main) score 31

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:52.698769+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T06:26:33.612091+00:00, confidence not recorded.
  - readme: https://github.com/MuhammadMoinFaisal/YOLOv8-DeepSORT-Object-Tracking (fetched 2026-08-28T04:03:52.698769+00:00, sha 9613ffef8d4c)
- Data as of 2026-08-30T08:39:29.467469+00:00.