4.4
stars
808 ratings

Aije Egwaikhide +1 more instructor

33,948 already enrolled

Offered By

IBM Skills Network

About this Course

104,981 recent views

Computer Vision is one of the most exciting fields in Machine Learning and AI. It has applications in many industries, such as self-driving cars, robotics, augmented reality, and much more. In this beginner-friendly course, you will understand computer vision and learn about its various applications across many industries.
As part of this course, you will utilize Python, Pillow, and OpenCV for basic image processing and perform image classification and object detection.

This is a hands-on course and involves several labs and exercises. Labs will combine Jupyter Labs and Computer Vision Learning Studio (CV Studio), a free learning tool for computer vision. CV Studio allows you to upload, train, and test your own custom image classifier and detection models.  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 the Python programming language and high school math is necessary.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Beginner Level

Approx. 22 hours to complete

English

Subtitles: English

Skills you will gain

Deep Learning
Opencv
Artificial Intelligence (AI)
Image Processing
Computer Vision

Flexible deadlines

Reset deadlines in accordance to your schedule.

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Beginner Level

Approx. 22 hours to complete

English

Subtitles: English

Instructors

Instructor rating

4.45/5 (139 Ratings)

Aije Egwaikhide

Senior Data Scientist

IBM

345,022 Learners

6 Courses

Joseph Santarcangelo

Ph.D., Data Scientist at IBM

IBM Developer Skills Network

755,620 Learners

24 Courses

Offered by

IBM Skills Network

IBM is the global leader in business transformation through an open hybrid cloud platform and AI, serving clients in more than 170 countries around the world. Today 47 of the Fortune 50 Companies rely on the IBM Cloud to run their business, and IBM Watson enterprise AI is hard at work in more than 30,000 engagements. IBM is also one of the world’s most vital corporate research organizations, with 28 consecutive years of patent leadership. Above all, guided by principles for trust and transparency and support for a more inclusive society, IBM is committed to being a responsible technology innovator and a force for good in the world.

Syllabus - What you will learn from this course

Content Rating93%(2,243 ratings)

Week

Week 1

1 hour to complete

Introduction to Computer Vision

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.

1 hour to complete

4 videos (Total 16 min), 2 readings, 2 quizzes

Week

Week 2

6 hours to complete

Image Processing with OpenCV and Pillow

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.

6 hours to complete

6 videos (Total 41 min)

Week

Week 3

5 hours to complete

Machine Learning Image Classification

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.

5 hours to complete

8 videos (Total 37 min)

Week

Week 4

4 hours to complete

Neural Networks and Deep Learning for Image Classification

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.

4 hours to complete

4 videos (Total 20 min)

Reviews

4.4

167 reviews

5 stars
65.08%
4 stars
20.80%
3 stars
6.69%
2 stars
3.28%
1 star
4.13%

TOP REVIEWS FROM INTRODUCTION TO COMPUTER VISION AND IMAGE PROCESSING

by ESMay 9, 2020

There was a few bugs, but some I was able to get around, others weren't important. The course was very interesting and a good foundation into computer vision

by MSMay 5, 2020

Very interesting course with very good hands on practice using the labs. Helps to learn very useful, practical skills.

by JNOct 13, 2020

There are a few issues with the labs. Please review them. Additionally it would be helpful to provide instructions in every lab for federated users.

by TCJun 20, 2020

It was a great course that I had fun completing.

I thank the instructors and especially the course mentors for their constant and timely support.

Godspeed,

Tanisha Cijo.

View all reviews

Frequently Asked Questions

When will I have access to the lectures and assignments?
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
What will I get if I subscribe to this Certificate?
When you enroll in the course, you get access to all of the courses in the Certificate, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
What will I be able to do after completing this course?
After completing this course you will be able to:
●      explain what computer vision is and its applications
●      understand the roles of Python, OpenCV and IBM Watson in computer vision
●      classify images utilizing IBM Watson, Python, and OpenCV
●      build and train custom image classifiers using Watson Visual Recognition API
●      process images in Python using OpenCV
●      create an interactive computer vision web application and deploy it to the cloud
Are there any software or hardware pre-requistes for this course?
No specialized hardware or software is required to complete this course. You will perform all labs and projects in a cloud environment and work with Python in Jupyter Notebooks, OpenCV, and IBM Watson Visual Recognition. Instructions for no-charge access to IBM Cloud is provided. You will require a modern web browser (i.e. recent versions of Chrome or Firefox).
Are there any pre-requisties or prior experience necssary for this course?
Some programming knowledge, especially with Python is needed to complete this course. The following course equips you with the necessary Python background:
- Python for Data Science

More questions? Visit the Learner Help Center.

Introduction to Computer Vision and Image Processing

About this Course

Skills you will gain