IBM
Introduction to Computer Vision and Image Processing
IBM

Introduction to Computer Vision and Image Processing

This course is part of multiple programs.

Taught in English

Some content may not be translated

Aije Egwaikhide
Joseph Santarcangelo

Instructors: Aije Egwaikhide

70,186 already enrolled

Course

Gain insight into a topic and learn the fundamentals

4.3

(1,097 reviews)

|

91%

Beginner level
No prior experience required
21 hours (approximately)
Flexible schedule
Learn at your own pace

What you'll learn

  • Describe the applications of computer vision across different industries.

  • Apply image processing and analysis techniques to computer vision problems.

  • Utilize Python, Pillow, and OpenCV for basic image processing and perform image classification and object detection.

  • Create an image classifier using Supervised learning techniques.

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

10 quizzes

Course

Gain insight into a topic and learn the fundamentals

4.3

(1,097 reviews)

|

91%

Beginner level
No prior experience required
21 hours (approximately)
Flexible schedule
Learn at your own pace

See how employees at top companies are mastering in-demand skills

Placeholder

Build your subject-matter expertise

This course is available as part of
When you enroll in this course, you'll also be asked to select a specific program.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate from IBM
Placeholder
Placeholder

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV

Share it on social media and in your performance review

Placeholder

There are 6 modules in this course

In this module, we will discuss the rapidly developing field of image processing. In addition to being the first step in Computer Vision, it has broad applications ranging anywhere from making your smartphone's image look crystal clear to helping doctors cure diseases.

What's included

4 videos2 readings2 quizzes1 plugin

Image processing enhances images or extracts useful information from the image. In this module, we will learn the basics of image processing with Python libraries OpenCV and Pillow.

What's included

6 videos2 quizzes9 app items

In this module, you will Learn About the different Machine learning classification Methods commonly used for Computer vision, including k nearest neighbours, Logistic regression, SoftMax Regression and Support Vector Machines. Finally, you will learn about Image features.

What's included

8 videos2 quizzes6 app items2 plugins

In this module, you will learn about Neural Networks, fully connected Neural Networks, and Convolutional Neural Network (CNN). You will learn about different components such as Layers and different types of activation functions such as ReLU. You also get to know the different CNN Architecture such as ResNet and LenNet.

What's included

4 videos2 quizzes6 app items1 plugin

In this module, you will learn about object detection with different methods. The first approach is using the Haar Cascade classifier, the second one is to use R-CNN and MobileNet.

What's included

2 videos1 reading2 quizzes3 app items

In the final week of this course, you will build a computer vision app that you will deploy on the cloud through Code Engine. For the project, you will create a custom classifier, train it and test it on your own images.

What's included

1 peer review1 app item4 plugins

Instructors

Instructor ratings
4.3 (224 ratings)
Aije Egwaikhide
IBM
6 Courses570,488 learners
Joseph Santarcangelo
IBM
25 Courses1,323,332 learners

Offered by

IBM

Recommended if you're interested in Machine Learning

Why people choose Coursera for their career

Felipe M.
Learner since 2018
"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."
Jennifer J.
Learner since 2020
"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."
Larry W.
Learner since 2021
"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."
Chaitanya A.
"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."

Learner reviews

Showing 3 of 1097

4.3

1,097 reviews

  • 5 stars

    63.99%

  • 4 stars

    18.86%

  • 3 stars

    7.47%

  • 2 stars

    4.19%

  • 1 star

    5.46%

OO
5

Reviewed on Sep 8, 2022

SK
5

Reviewed on May 19, 2021

EC
5

Reviewed on Mar 15, 2022

New to Machine Learning? Start here.

Placeholder

Open new doors with Coursera Plus

Unlimited access to 7,000+ world-class courses, hands-on projects, and job-ready certificate programs - all included in your subscription

Advance your career with an online degree

Earn a degree from world-class universities - 100% online

Join over 3,400 global companies that choose Coursera for Business

Upskill your employees to excel in the digital economy

Frequently asked questions