Build your OBJECT DETECTION PROJECT even though you’re starting from scratch.

Object Detection, Object Tracking and Object Counting
Practical and Beginner friendly
Full Video-Course (with 10+ hours of lessons)

A complete course with over 20 dedicated lessons, source codes, step-by-step, practical and easy to follow instructions will teach you all the secrets of Object Detection and Object Tracking from beginner to advanced.

You want to work with Object Detection and

you don’t know where to start?

I know how it feels! When you look for “Object detection” on Google you get simply overwhelmed by the amount of information you find: YOLO, Tensorflow, Keras, OpenCV. And then Pytorch, Caffe, SSD, R-CNN just to name a few.

The field of computer vision has experienced substantial progress recently, allowing for incredible technological advances that are bound to rule the world. And maybe, this is even what got you so enthralled with Object Detection in the first place: The promise of a technologically advanced future, and the power to have the keys of the systems that will one day rule the world in your hands!

Classifying and finding an unknown number of individual objects within an image, however, was considered an extremely difficult task only a few years ago…And the subject certainly hasn’t gotten simpler over time. Up to this day, even if companies like Google and Facebook have managed to productize it, Object Detection presents many sizable challenges beyond what is required for image classification.

All you need is a clear pathway

If you’re at all like me, when I started working with Computer vision, I had tips. Lots of them.

Fragments of the process of Image recognition and Object Detection. I would read a blog post here, watch a video tutorial there, read a good article about Object Detection and then some more tips from other sources I knew and respected.

But what I didn’t have for years was a step by step system. A blueprint, if you will, for how to use those tips in the right way.

All I wanted was for someone to sit me down, take me by the hand, and show me step by step how to think about Object Detection from the basics to creating an entire project.

When I started recording with my camera, for this videocourse, I knew exactly the vision I wanted to make true: I wanted people like you to have a clear path to follow from the basics concepts to the more advanced implementations on different kind of environments.

So embrace yourself for a new journey and you can pass whichever goal you set your mind on!

You can MASTER object detection

What if you knew right away how to detect any Object using computer vision?

What if you could simply install the libraries and focus on learning instead of debugging errors?

What if you could easily get new knowledge and practical skills to implement from the first day?

What if you could get the confidence to build any Object Detection and Object tracking project you have in mind or your clients need?

Forget about cookie-cutter information and solutions that don’t do anything for your goals: My course is designed to explain the theory in the simplest way there is, showcasing how to apply it step-by-step.

This course will teach you:

Here is a brief glimps of what you’ll find inside the course

5 different Object Detection methods
How to choose the right Detection method
How to build an Object Detection project from scratch
The basic concepts of Object detection with Deep Learning
How easily install the libraries

How to Use Deep learning with YOLO v4
The fastest way to create a dataset of 1000+ images
To train your own custom object detector
How to train YOLO to detect multiple objects
How to use Deep Learning with your GPU

And much more …

Here some of the technologies you’ll be learning:

Course Modules

1. Object Detection with OpenCV

Learn 4 different object detection methods using the OpenCV library.

These methods are the basic of Object Detection and they consist in the use of simple image analysis and image processing to detect objects on a controlled environment, whether by the color of the objects, moving objects from a stable camera or objects features).

Despite their simplicity, these methods are really powerful, reliable and straightforward.

For each method there is a video lesson, an article with the explanation and a python source code to download and ready to use.

11 Lessons | 3.5+ Hours | 9 Python files

2. Object Detection with Deep Learning

You will learn how to integrate OpenCV with Deep Learning to detect any object.

By using OpenCV with deep learning you will be able to detect any Object, in any type of environment.

You will get familiar with the basics of deep learning, image datasets, pre-trained models and building custom object detectors with YOLO.

In this course you’ll take advantage of Python source codes and Python notebooks ready to use, with which you can easily download datasets with thousands of images and create your custom object detector to detect multiple objects.

7 Lessons | 2.5+ Hours | 3 Python files | 2 Colab Notebooks

3. Object Tracking

In this module you will learn about Object Tracking and Object Counting.

You will learn how to assign a univocal ID to each object, track their movement and count the objects that are crossing an area.

You will also learn how to track objects of different categories and save their trajectory.

You can take advantage of ready to download python files and a really simple implementation.

6 Lessons | 2+ Hours | 6 Python files

4. Object Detection on Raspberry pi and Jetson Nano

Learn how to easily deploy your object detection models on Raspberry pi and Jetson Nano.

I’m going to guide you step-by-step from the installation of the OS system, the most important libraries for object detection till Object Detection on both the devices.

On raspberry pi you’ll learn how to detect any custom object from an image whether using your model or a pre-trained model.

On the Jetson Nano you’ll learn how to perform a real-time detection (from a camera/or video) by taking advantage of it’s GPU.

4 Lessons | 1+ Hour | 2 Python files


Step-by-step instructions for all the necessary installations

I’m going to guide you through the installations, from simply installing Opencv on Windows, Pycharm IDE, to more advanced installations (Opencv with CUDA GPU and Darknet with CUDA GPU) on Windows.

4 Lessons | 1+ Hour
  • $297
  • Object Detection
  • Object Tracking
  • Ready Projects From Scratch
  • Source Code
  • Deploy Projects on Raspbery Pi
    and Jetson Nano
  • Discussion sections (you can directly ask me questions about each lesson)
  • 30 Day Money Back Guarantee

Who am I?

Hi there,

I’m Sergio, a Computer Vision Developer and founder of Pysource.

I help companies, freelancers and students to learn easily and efficiently how to apply visual recognition to their projects.

To get a taste of what I offer, I shared for free well over 100 videos on my youtube channel (Pysource), where my content is watched by tens of thousands of people each month.

If you also want to learn my Object Detection methods, join my course.

See you there 😉

What people say about me …

(here just some from thousands of comments about my video tutorials)


This course is for you if:

You want to learn all the secrets of Object Detection and Object Tracking
You’re tired of complex books and manuals which leave you even more confused than when you started
You want to build an Object Detection project
You need to work with Object Detection for your thesis
You’re passionate about getting new skills and knowledge
You have some Computer Vision knowledge and you want to take it to the next level

This course is NOT for you if:

You don’t have any python programming basic knowledge
You don’t want to learn anything new but you are looking to just copy/paste source code into projects of yours. This attitude won’t get you far!

Do I need to know programming?

A basic knowledge of Python programming is required, so you need at least to be familiar with variables, comparison operators, and while and for loops.

Have you got any question?

Feel free to email me at

30 Day Money back Guarantee

I’m so confident about the quality of this videocourse and that you’ll be able to get advantage from it that I offer you a 30 day full money back guarantee.

Go through the course, follow all the steps and put in the work. If you think that you’re not improving your skills and not getting any benefit from it, then you can send me an email and I’ll refund you immediately.


  • $297
  • Object Detection
  • Object Tracking
  • Ready Projects From Scratch
  • Source Code
  • Deploy Projects on Raspbery Pi
    and Jetson Nano
  • Discussion sections (you can directly ask me questions about each lesson)
  • 30 Day Money Back Guarantee
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