Computer Vision - Image Basics with OpenCV and Python from Coursera

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. On Rhyme, you do projects in a hands-on manner in your browser. You will get instant access to pre-configured cloud desktops containing all of the software and data you need for the project. Everything is already set up directly in your Internet browser so you can just focus on learning. For this project, you’ll get instant access to a cloud desktop with Python, Jupyter, and OpenCV pre-installed. Prerequisites: In order to be successful in this project, you should have a basic knowledge of Python. Notes: - You will be able to access the cloud desktop 5 times. However, you will be able to access instructions videos as many times as you want. - This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Appropriate for learners with an interest in computer vision

Taught by Ilias Papachristos, recognized for their work in computer vision

Develops foundational skills for computer vision

Leverages Python, Jupyter, and OpenCV, widely used in the industry

Requires basic Python knowledge, which is important for AI

Course accessibility limited to five cloud desktop sessions

Reviews summary

Practical computer vision basics

This 1-hour project-based course on Coursera guides absolute beginners through the fundamentals of computer vision and image processing using OpenCV and Python through a hands-on project in a cloud desktop environment. Most learners find the lessons straightforward and the project format helpful for understanding concepts in a practical way.

Hands-on project format is helpful for practical understanding.

"This course runs on Coursera's hands-on project platform called Rhyme."

"I really really loved the content of the course/project"

Great for beginners to learn the basics of OpenCV.

"This is a great intro for any beginner!"

"If you have little understanding of opencv then it will be better for because the instructor doesn't explain all the things in detail."

Some learners found the instructor's accent difficult to understand.

"The accent of instructor is a little bit difficult to understand."

"English pronunciation of the Instructor is terrible."

Some learners experienced technical issues with the cloud desktop environment, Rhyme.

"The videos do not load at all"

"The project IS BAD.WHEN I MADE A MISTAKE DURING THE PROJECT, I WAS NOT ABLE TO RELAUNCH IT"

"RHYME did not work 90% of the time"

Some learners found that explanations for certain concepts were lacking.

"Explanation is not good enough"

"Not good enough explanations for beginners."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Computer Vision - Image Basics with OpenCV and Python with these activities:

Brush up on NumPy

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Reviewing the basics of NumPy will help you to refresh your memory on working with arrays and matrices, which are essential for this course on computer vision.

Browse courses on NumPy

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Revisit the official NumPy documentation
Complete a few practice problems on array manipulation

Follow OpenCV tutorials

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OpenCV is a popular open-source library for computer vision, and following OpenCV tutorials will help you to learn how to use this library to perform a variety of computer vision tasks.

Browse courses on OpenCV

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Find a few OpenCV tutorials that cover topics that you are interested in
Follow the tutorials step-by-step
Experiment with the code and try to apply it to your own projects

Read Computer Vision: Algorithms and Applications by Richard Szeliski

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This book provides a comprehensive overview of computer vision algorithms and techniques, and it will help you to deepen your understanding of the subject.

View Computer Vision on Amazon

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Read through the book carefully, taking notes as you go
Work through the exercises at the end of each chapter
Apply what you have learned to your own computer vision projects

Four other activities

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Join a computer vision study group

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Joining a computer vision study group will give you the opportunity to collaborate with other students and to learn from each other.

Browse courses on Computer Vision

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Find a computer vision study group that meets your needs
Attend the study group meetings regularly
Participate in the discussions and ask questions

Image segmentation exercises

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Working through image segmentation exercises will help you to develop your skills in identifying and separating objects in images, which is a key skill for computer vision.

Browse courses on Image Segmentation

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Find a dataset of images with ground truth segmentation masks
Segment the images using different algorithms and compare your results to the ground truth masks
Try to improve the accuracy of your segmentation algorithms

Attend a computer vision workshop

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Attending a computer vision workshop will give you the opportunity to learn from experts in the field and to network with other computer vision enthusiasts.

Browse courses on Computer Vision

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Find a computer vision workshop that fits your interests and schedule
Register for the workshop and attend all of the sessions
Participate in the discussions and ask questions

Build a portfolio of computer vision projects

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Creating a portfolio of computer vision projects will help you to showcase your skills and knowledge to potential employers or clients, and it will also help you to stay up-to-date on the latest trends in computer vision.

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Choose a few interesting computer vision projects to work on
Develop and implement your projects
Document your projects and create a portfolio website

Career center

Learners who complete Computer Vision - Image Basics with OpenCV and Python will develop knowledge and skills that may be useful to these careers:

Computer Vision Engineer

Computer Vision Engineers analyze images, develop algorithms, and build models for various applications. This course provides a solid foundation in computer vision using OpenCV and Python, which are essential skills for this role.

See salaries and explore the career path for Computer Vision Engineer

Machine Learning Engineer

Machine Learning Engineers develop and deploy machine learning models for various tasks, including image recognition. This course helps build a foundation in computer vision, which is a key component of machine learning.

See salaries and explore the career path for Machine Learning Engineer

Data Scientist

Data Scientists analyze data, build models, and extract insights for various purposes. This course provides a foundation in computer vision, which is a valuable skill for data scientists working with image data.

See salaries and explore the career path for Data Scientist

Robotics Engineer

Robotics Engineers design, build, and maintain robots for various applications. This course provides a foundation in computer vision, which is crucial for robots to navigate and interact with their environment.

See salaries and explore the career path for Robotics Engineer

Computer Graphics Artist

Computer Graphics Artists create visual content for various media. This course provides a foundation in computer vision, which can enhance their ability to create realistic and immersive graphics.

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Software Engineer

Software Engineers design, develop, and maintain software applications. While not directly related to computer vision, this course may be useful for software engineers who work on applications that incorporate image processing or analysis.

See salaries and explore the career path for Software Engineer

Game Developer

Game Developers create video games for various platforms. This course may be useful for game developers who want to incorporate computer vision into their games for features such as augmented reality or image-based gameplay.

See salaries and explore the career path for Game Developer

Web Developer

Web Developers design and develop websites and web applications. This course may be useful for web developers who want to incorporate image processing or analysis into their web applications.

See salaries and explore the career path for Web Developer

Product Manager

Product Managers manage the development and launch of new products. While not directly related to computer vision, this course may be useful for product managers who work on products that incorporate image processing or analysis.

See salaries and explore the career path for Product Manager

Business Analyst

Business Analysts analyze business processes and identify opportunities for improvement. While not directly related to computer vision, this course may be useful for business analysts who work on projects that involve image processing or analysis.

See salaries and explore the career path for Business Analyst

Technical Writer

Technical Writers create documentation and training materials for technical products. While not directly related to computer vision, this course may be useful for technical writers who need to write about products or technologies that incorporate computer vision.

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Technical Support Engineer

Technical Support Engineers provide technical support to users of software and hardware products. While not directly related to computer vision, this course may be useful for technical support engineers who support products that incorporate computer vision.

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Sales Engineer

Sales Engineers provide technical expertise to customers during the sales process. While not directly related to computer vision, this course may be useful for sales engineers who sell products or technologies that incorporate computer vision.

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Marketing Manager

Marketing Managers plan and execute marketing campaigns for products and services. While not directly related to computer vision, this course may be useful for marketing managers who work on products or services that incorporate computer vision.

See salaries and explore the career path for Marketing Manager