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Learner Reviews & Feedback for Introduction to Computer Vision and Image Processing by IBM

4.3
stars
1,123 ratings

About the Course

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....

Top reviews

MO

Nov 12, 2019

Thoroughly enjoyed this course. Learned about OpenCV a bit and added to my small knowledge of Python. The ability to know how to train Watson to do optical recognizition will be invaluable.

SS

Aug 19, 2019

This is one of the best course by IBM. I specifically enjoyed Computer Vision modelling and its related project and also enjoyed the way team put in effort for designing this course.

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151 - 175 of 247 Reviews for Introduction to Computer Vision and Image Processing

By Hannes I

Jun 6, 2023

Good introduction, but the practical exercises require minimal involvment from the learner's side unfortunately.

By Wayne Z

Oct 28, 2019

great learning opportunity with hands on codes, suggest to improve some of the lab jupyter notebook errors

By Leblanc M

Mar 11, 2020

Good beginner course, the final project could be a bit more tricky, but the overall teaching is good :)

By Diego G O

Aug 20, 2021

It needs more code explanations, but it is good as the introduction of the theoretical concepts.

By george s

Oct 1, 2021

Everything was almost perfect except the app creation because lab platform had problems.

By Isaac P

May 27, 2020

There are error in some labs and in the final project that take time to resolve.

By Adolfo C Y

Apr 1, 2020

The deployment of the final web service shoulb be further explained or fixed

By Patricio V

May 10, 2020

Some part of the labs are outdated in regards to the actual ibm cloud site

By Ivon T

May 6, 2020

Instructions in the Capstone Project were sometimes not always clear.

By Bryan

Jan 4, 2020

The labs are a bit hard to follow because the web pages are outdated.

By chee k L

Nov 6, 2019

Great Introduction for new learner with some labs experience.

By Dean E B

Feb 9, 2022

Course content was good, labs were buggy and frustrating

By E. R " A

Dec 7, 2019

A challenging and very satisfying course! Recommended!!

By Tinku C

Jul 14, 2022

Cours recommandé pour les débutant en computer vision

By mohammad f a

Apr 6, 2020

This course more focuses on ibm watson than opencv.

By Man S Y

Jun 29, 2020

Very organized and well designed for beginners.

By Fulvio C

May 31, 2020

The Open CV module is not working corectly

By Nikhil G

Aug 16, 2023

verifying my id is really time consuming

By Flávio L B

Mar 5, 2023

could have subtitles for more languages

By Nakshatra G

Apr 18, 2020

There are so many errors in Labs

By farah p

Aug 8, 2022

Nice course for Computer Vision

By Miguel G

May 19, 2021

Good course, i liked CV

By Deleted A

Sep 13, 2019

Bugs on the platform.

By Rejoy C

May 31, 2020

Its a good

By Juhani H

Mar 14, 2024

While the course is mostly good, it does have some pretty large issues that might cause problems: 1. A large portion of the material is on a different app, which unfortunately is not intuitive to use. It took too long to realise that the code snippets can be run natively in the text file they are presented in. 2. The videos go from 0 to 100 a bit too quickly. It feels like the teacher just wants to get the facts out as fast as possible and doesn't attempt to make sure everything is understood. 3. The grading and content don't match. The tests ask pretty simple questions about roughly 5% of the material and the remaining 95% are untouched. It feels like that 95% is surplus. All in all, the course is a pretty good intro into the basic theory, but not a good way to learn how to do the stuff yourself unless you the exact same tools as the material is in.