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Computer Vision Projects: Detect, Track, Count

Build practical vision systems — object detection, tracking and counting — with Python, OpenCV and PyTorch.

Rated 5.0 out of 5 from 1 review
  • Intermediate
  • 21 lessons · 3h 43m of video
  • 231 students
  • English
  • Updated Oct 2026
Coding preview Computer Vision Projects: Detect, Track, Count

The route

Curriculum

5 modules · 21 lessons · 3h 43m of video

  1. 1

    Images and video

    4 lessons

    38m
  2. 2

    Detection

    5 lessons

    52m
  3. 3

    Your own training data

    4 lessons

    46m
  4. 4

    Tracking and counting

    5 lessons

    54m
  5. 5

    Real-time performance

    3 lessons

    33m

Destination

What you will be able to do

  • Process images and video with OpenCV
  • Detect objects with pretrained models
  • Fine-tune a detector on your own images
  • Track and count objects across frames
  • Optimise for real-time performance

Before you board

You will need

  • Comfortable Python
  • A computer with 8 GB RAM (GPU optional)

About this course

The journey

This course is five projects, each a working computer-vision application: a people counter, a parking-space monitor, a product detector for a shelf, a sports-ball tracker and a defect spotter for photos of parts.

You learn image processing with OpenCV, object detection with pretrained models, fine-tuning on your own labelled images, multi-object tracking and how to make it all run in real time on ordinary hardware.

Frequently asked questions

Still unsure about something? Write to our contact page and a human answers, usually the same working day.

Intermediate. You should be comfortable with the basics listed under requirements.

No. You pay once and keep lifetime access, including every future update to this course.

Yes. The preview video at the top of this page shows real code from the course being written and run.

Checkout is handled on our provider's secure payment page. The moment your payment clears we email your personal access link and access code to the address you used at checkout, and the same link appears in your account library. There is nothing to install and nothing to wait for.

Email within 14 days of your purchase, quote your order number, and we refund the full amount to your original payment method. No form to fill in and no questions about how much of the course you watched.

What students say

Reviews are written by people who bought this course. We publish the critical ones too.

5.0

Rated 5.0 out of 5

Course rating · 1 review

Rating distribution

  • 5 stars 100%
  • 4 stars 0%
  • 3 stars 0%
  • 2 stars 0%
  • 1 star 0%
  • MD

    Marek Dvorak

    Robotics engineer

    Sep 2026
    Rated 5.0 out of 5

    Five projects I could actually ship

    The tracking and counting project is now running on a camera in our warehouse. Fine-tuning on our own photos was explained clearly.
€77 EUR

One-time payment · lifetime access

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