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

4.3
stars
1,097 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 241 Reviews for Introduction to Computer Vision and Image Processing

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Some part of the labs are outdated in regards to the actual ibm cloud site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

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The labs are a bit hard to follow because the web pages are outdated.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

By Caio D F

Apr 2, 2023

Half of this course was amazing (modules 1,2 and 5) but the other half (modules 3,4 and 6) wasn't so good.

There is a huge gap between the didatic the good and the bad halves. Some of the LABs were amazing, but at the same time, there were LABs with procedures (or codes) that were not explained and even the team couldn't explain why some steps were taken.

The final task was very bad... the Open CV didn't work at all and a lot of people got "black screened" with no return.

In general, the course was good, but could be a lot better.

By Michael W

Mar 25, 2024

CV Studio is crap. It's difficult to use and it's integration with Jupyter is horrible. This course would be far better if CV Studio was not included. Even better if you stop using Jupyter completely. It would more realistic to just provide the source code I can run on my machine. I'll never use Jupyter in a real-world project. Also - Several of the coding exercises did not run in Jupyter as written; I had to make code changes just to get it working.

By Mohammed E A E

Sep 10, 2023

Interesting topics covered. But the presentation (explaination) can be lacking depth. Simple concepts were heavily empasized wile complex ones were flawn through. Honesly, there are videos on youtube for free that can explain the topics better. Thus, one needs to augment the learning process here on Coursera with outisde materials. The course is not comprehensive. Lab are good but not perfect. The machine learning course was much better.

By Richard D

Oct 13, 2022

The positive: access to a sophisticated platform hosted by IBM.

The negative: a general lack of attention by the course runners, including errors in notebooks that persisted for months on end.

Also, many of the exercises were hardly challenging or engaging. By this I mean a student could open a notebook, click on every cell, and get credit without having learned much at all.

By Andrey M

May 24, 2020

Probably the less structured course in the specialization. Jupyter notebooks do not match with video content nor with the final assignment. Videos are very general and reused from some presentation. Compared to rest of the courses in this Specialization this one has surprisingly not much of actual content in it and also surprisingly not well-organized.