Computer Vision and Image Processing Fundamentals from edX

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Computer Vision is one of the most exciting fields in Machine Learning, computer science and AI. It has applications in many industries such as self-driving cars, robotics, augmented reality, face detection in law enforcement agencies.

In this intro-level course, you will learn about computer vision and its various applications across many industries. As part of this course, you will utilize Python, Watson AI, and OpenCV to process images and interact with image classification models. You will also build, train, and test your own custom image classifiers.

This is a hands-on course and involves several labs and exercises. All the labs will be performed in the Cloud and you will be provided access to a Cloud environment completely free of charge.

At the end of the course, you will create your own computer vision web app and deploy it to the Cloud.

This course does not require any prior Machine Learning or Computer Vision experience, however, some knowledge of Python programming language is necessary.

What's inside

Learning objectives

Various computer vision applications across many industries
Imaging processing and formation capabilities powered by ai

Utilize python, watson ai, and opencv to process images and interact with image classification models
Build, train, and test your own custom image classifiers

Various computer vision applications across many industries
Imaging processing and formation capabilities powered by ai
Utilize python, watson ai, and opencv to process images and interact with image classification models
Build, train, and test your own custom image classifiers

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Teaches computer vision applications across many industries, which is standard in industry

Covers image processing and formation capabilities powered by AI, which is standard in industry

Develops skills in utilizing Python, Watson AI, and OpenCV to process images and interact with image classification models, which are core skills for computer vision

Offers the opportunity to build, train, and test custom image classifiers, which is valuable experience for computer vision

Is a hands-on course involving labs and exercises, which is beneficial for learning computer vision

Includes the creation of a computer vision web app and deploying it to the Cloud, which is valuable practical experience

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 and Image Processing Fundamentals with these activities:

Organize course materials

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Organize and review the course materials to enhance your understanding and prepare for upcoming lessons.

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Gather all course materials, including notes, assignments, quizzes, and exams.
Review materials regularly to reinforce concepts and identify areas for further study.

Review Python programming basics

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Refresh your Python programming skills to ensure a strong foundation for the course.

Browse courses on Python Programming

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Review online tutorials or documentation covering Python fundamentals.
Practice writing simple Python programs to reinforce your understanding.
Complete coding challenges or exercises to test your proficiency.

Read 'Computer Vision: Algorithms and Applications'

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Gain a deeper understanding of computer vision concepts and algorithms through a comprehensive textbook.

View Computer Vision on Amazon

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Purchase or borrow a copy of the book.
Allocate dedicated time for reading and studying the material.
Take notes and highlight important concepts.
Complete any exercises or assignments included in the book.

Four other activities

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Attend peer study sessions

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Engage with peers to discuss course concepts, share insights, and clarify understanding.

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Organize regular study sessions with classmates or join existing groups.
Actively participate in discussions, ask questions, and share your own perspectives.
Summarize key points and document any areas requiring further clarification.

Practice image recognition drills

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Practice recognizing images using various techniques to improve your ability to identify and classify images.

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Utilize online resources such as Kaggle or Google Images to find image datasets.
Download and prepare the datasets for practice.
Implement different image recognition algorithms, such as k-NN or SVM.
Evaluate the performance of your algorithms using metrics like accuracy and F1-score.
Fine-tune your algorithms to improve their performance.

Build a custom image classifier

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Develop your understanding of image classification by building a custom model using Python and popular libraries like TensorFlow or PyTorch.

Browse courses on Image Classification

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Gather a dataset of labeled images aligned with your classification task.
Preprocess and prepare the dataset for training.
Choose an appropriate deep learning architecture for your task.
Train and evaluate your model using appropriate metrics.
Deploy your model for practical use cases.

Develop a visual presentation on computer vision applications

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Enhance your understanding and communication skills by creating a visual presentation showcasing the diverse applications of computer vision.

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Identify specific computer vision applications you wish to highlight.
Gather relevant data, images, and examples to support your presentation.
Design visually appealing slides using presentation software like PowerPoint or Google Slides.
Practice your presentation delivery to ensure clarity and impact.
Share your presentation with peers or a wider audience to disseminate knowledge.

Career center

Learners who complete Computer Vision and Image Processing Fundamentals will develop knowledge and skills that may be useful to these careers:

Computer Vision Engineer

Computer Vision Engineers design, develop, and deploy computer vision systems. This course provides a comprehensive overview of computer vision, including image processing, feature extraction, and object detection. The course also covers Python, Watson AI, and OpenCV, which are popular tools used by Computer Vision Engineers. By taking this course, you will gain the skills and knowledge necessary to succeed as a Computer Vision Engineer.

See salaries and explore the career path for Computer Vision Engineer

AR/VR Developer

AR/VR Developers design, develop, and maintain augmented reality and virtual reality experiences. This course provides a foundation in computer vision and image processing, which are essential skills for AR/VR Developers. The course also covers Python, Watson AI, and OpenCV, which are popular tools used by AR/VR Developers. By taking this course, you will gain the skills and knowledge necessary to succeed as an AR/VR Developer.

See salaries and explore the career path for AR/VR Developer

Data Analyst

Data Analysts collect, analyze, and interpret data to help businesses make informed decisions. This course provides a foundation in computer vision and image processing, which are essential skills for Data Analysts who work with image data. The course also covers Python, Watson AI, and OpenCV, which are popular tools used by Data Analysts. By taking this course, you will gain the skills and knowledge necessary to succeed as a Data Analyst.

See salaries and explore the career path for Data Analyst

Data Scientist

Data Scientists are responsible for collecting, analyzing, and interpreting data to help businesses make informed decisions. This course provides a foundation in computer vision and image processing, which are essential skills for Data Scientists who work with image data. The course also covers Python, Watson AI, and OpenCV, which are popular tools used by Data Scientists. By taking this course, you will gain the skills and knowledge necessary to succeed as a Data Scientist.

See salaries and explore the career path for Data Scientist

Machine Learning Engineer

Machine Learning Engineers design, develop, and deploy machine learning models. This course provides a foundation in computer vision and image processing, which are essential skills for Machine Learning Engineers who work with image data. The course also covers Python, Watson AI, and OpenCV, which are popular tools used by Machine Learning Engineers. By taking this course, you will gain the skills and knowledge necessary to succeed as a Machine Learning Engineer.

See salaries and explore the career path for Machine Learning Engineer

Robotics Engineer

Robotics Engineers design, build, and maintain robots. This course provides a foundation in computer vision and image processing, which are essential skills for Robotics Engineers who work with robots that use cameras. The course also covers Python, Watson AI, and OpenCV, which are popular tools used by Robotics Engineers. By taking this course, you will gain the skills and knowledge necessary to succeed as a Robotics Engineer.

See salaries and explore the career path for Robotics Engineer

Product Manager

Product Managers are responsible for the development and launch of new products. This course provides a foundation in computer vision and image processing, which are becoming increasingly important in product development. The course also covers Python, Watson AI, and OpenCV, which are popular tools used by Product Managers. By taking this course, you will gain the skills and knowledge necessary to succeed as a Product Manager.

See salaries and explore the career path for Product Manager

Game Developer

Game Developers design, develop, and maintain video games. This course provides a foundation in computer vision and image processing, which are becoming increasingly important in game development. The course also covers Python, Watson AI, and OpenCV, which are popular tools used by Game Developers. By taking this course, you will gain the skills and knowledge necessary to succeed as a Game Developer.

See salaries and explore the career path for Game Developer

UX Designer

UX Designers design user interfaces for websites and apps. This course provides a foundation in computer vision and image processing, which are becoming increasingly important in UX design. The course also covers Python, Watson AI, and OpenCV, which are popular tools used by UX Designers. By taking this course, you will gain the skills and knowledge necessary to succeed as a UX Designer.

See salaries and explore the career path for UX Designer

Graphic designer

Graphic Designers create visual concepts for a variety of purposes, including websites, apps, and print publications. This course provides a foundation in computer vision and image processing, which are becoming increasingly important in graphic design. The course also covers Python, Watson AI, and OpenCV, which are popular tools used by Graphic Designers. By taking this course, you will gain the skills and knowledge necessary to succeed as a Graphic Designer.

See salaries and explore the career path for Graphic designer

Business Analyst

Business Analysts help businesses understand their customers, competitors, and markets. This course provides a foundation in computer vision and image processing, which are becoming increasingly important in business analysis. The course also covers Python, Watson AI, and OpenCV, which are popular tools used by Business Analysts. By taking this course, you will gain the skills and knowledge necessary to succeed as a Business Analyst.

See salaries and explore the career path for Business Analyst

Mobile Developer

Mobile Developers design, develop, and maintain mobile apps. This course provides a foundation in computer vision and image processing, which are becoming increasingly important in mobile app development. The course also covers Python, Watson AI, and OpenCV, which are popular tools used by Mobile Developers. By taking this course, you will gain the skills and knowledge necessary to succeed as a Mobile Developer.

See salaries and explore the career path for Mobile Developer

Software Engineer

Software Engineers design, develop, and maintain software applications. This course provides a foundation in computer vision and image processing, which are becoming increasingly important in software applications. The course also covers Python, Watson AI, and OpenCV, which are popular tools used by Software Engineers. By taking this course, you will gain the skills and knowledge necessary to succeed as a Software Engineer.

See salaries and explore the career path for Software Engineer

UI Designer

UI Designers design the look and feel of websites and apps. This course provides a foundation in computer vision and image processing, which are becoming increasingly important in UI design. The course also covers Python, Watson AI, and OpenCV, which are popular tools used by UI Designers. By taking this course, you will gain the skills and knowledge necessary to succeed as a UI Designer.

See salaries and explore the career path for UI Designer

Web Developer

Web Developers design, develop, and maintain websites. This course provides a foundation in computer vision and image processing, which are becoming increasingly important in web development. The course also covers Python, Watson AI, and OpenCV, which are popular tools used by Web Developers. By taking this course, you will gain the skills and knowledge necessary to succeed as a Web Developer.

See salaries and explore the career path for Web Developer