2 Projects to Learn Computer Vision and Open CV for Beginners in 2023

These are the best projects you can do to learn Computer Vision and Open CV with links to relevant support courses and tutorials.

Hello guys, if you want to learn Computer Vision and OpenCV library and looking for the best resources then you have come to the right place. In the past, I have shared the best Computer Vision courses and in this article, I am going to share the best projects you can build to learn Computer vision and open CV library.

Along with theoretical knowledge and certifications, building projects is the best way to build knowledge and enhance your technical skills and computer vision is no different.

These guided projects will not only help understand the application of computer vision in daily life and its importance but also give you the confidence you need to work as Computer Vision professional

Btw, if you are a beginner in the field of Computer vision and Open CV, let me give you a brief intro of what they are. Computer vision is nothing but a part of artificial intelligence (AI) that enables computers and systems to derive meaningful information from digital images, yes, you are correct. I am talking about reading images.

For example, the computer can recognize an image of a CAR as a car and an image of hours is a horse to take meaningful action. There are many applications of computer vision in real-world form from self-driving cars to identifying people, and that’s why the demand for Computer vision experts is increasing every passing day.

And, now if you are wondering what is OpenCV as it is commonly used along with Computer vision then remember that OpenCV provides a real-time optimized Computer Vision library, tools, and hardware.

It also supports model execution for Machine Learning (ML). You can learn more about them in my earlier post about the best OpenCV courses for beginners and intermediate developers.

2 Best Projects to learn Computer Vision and OpenCV in 2023

Now that you know what is Computer Vision and OpenCV and what are their applications, it's time to jump into the best projects you can build to learn these tools and libraries better in 2023.

1. Computer Vision Object Detection [Coursera]

Object detection is one of the first projects you can build to start with computer vision. It’s also a fun project as you will learn how to detect faces, eyes, and a combination of them both from images, how to detect people walking and cars moving from videos, and finally how to detect a car’s plate.

If you need a course to learn more about object detection, Computer Vision: YOLO Custom Object Detection with Colab GPU course on Udemy is 4 -hour long project-based online course, where you will learn how to do Computer Vision Object Detection from Images and Videos.

Here is the link to join this course — Computer Vision: YOLO Custom Object Detection with Colab GPU

2. Single and Multi-Object Tracking.

This is another important project you can do to learn Computer Vision better. In Single Object Tracking (SOT), the bounding box of the target in the first frame is given to the tracker. The goal of the tracker is then to locate the same target in all the other frames.

If you need resources then In this 1-hour long project-based course, you will learn how to do Computer Vision on images with OpenCV and Python using Jupyter Notebook. This course runs on Coursera’s hands-on project platform called Rhyme.

The best thing about this project-based course is that you don’t need to set up your own development environment. For this project, you’ll get instant access to a cloud desktop with Python, Jupyter, and OpenCV pre-installed.

Here are things you will learn in this Guided projects:

1. How to open an Image with Matplotlib
2. Differences between Matplotlib and OpenCV
3. The 3 main points to remember when working with OpenCV
4. How to Flip, resize an image, how to draw shapes, and write on an image

Here is the link to join this guided computer vision project — Computer Vision — Image Basics with OpenCV and Python

That’s all about the best projects you can do to learn Computer Vision and Open CV in 2023. These projects are also a great way to learn CV and OpenCV better However, to complete these projects, you need to have some basic knowledge of computer vision, which can be acquired with the help of the courses discussed above earlier in this article.

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Thanks for reading this article so far. If you find these best free Computer Vision and Open CV online courses from Udemy, Coursera, and Pluralsight useful, then please share them with your friends and colleagues. If you have any questions or feedback, then please drop a note.

P. S. — If you already know the basics of Open CV and looking for a comprehensive course to take your OpenCV skills to the next level, then I highly recommend you to check out this Deep Learning and Computer Vision A-Z: OpenCV, SSD, and GANs by the SuperDataScience team on UDemy. This is a great course to learn OpenCV in-depth, and you can get it for just $9.9 on Udemy sale