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

4.3
stars
1,211 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

M

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this course need some improvement like update on the third apps (cv studio) also open cloud (so we can train the model in our own IDE) not in jupyter

SH

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I enjoyed the course. I had problems with the last lab with error messages cause by the updates but the forum was helpful in figuring things out.

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176 - 200 of 278 Reviews for Introduction to Computer Vision and Image Processing

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Some part of the labs are outdated in regards to the actual ibm cloud site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

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The labs are a bit hard to follow because the web pages are outdated.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

Aug 7, 2024

A broad rather than deep course. I will give it a 4.

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 Rutik J

Aug 31, 2024

EXCELLENT COURSE CONTENT

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 Abror D

Sep 8, 2024

Cool

By BALARAMA K G

Aug 22, 2024

Good

By Stephen N

Aug 30, 2024

The material is very useful and is presented well in the videos. The labs with only Jupyter Notebooks work well. The labs with CV Studio were not always successful. First, the instructions for using CV Studio in the assignments need to be updated and clarified. Once you get past the differences in the various sets of instructions and get something working with CV Studio, the labs with only the Jupyter notebooks work well. However, the labs in which you're asked to test your trained model with their "one-click app" do not. For these labs, you train the model with a Jupyter notebook (which worked well) and deploy the model in a one-click app, but when CV Studio says the one-click app is "ready", clicking the link lands you on a page saying that you'll be redirected to the webpage when it's ready but it NEVER redirects. I wish that I had known that from the start. I re-did these labs multiple times because I assumed that I was the one making mistakes. However, the final project appears to have been changed to use a Jupyter notebook instead of deploying a one-click app. If they re-work the labs either to include better instructions for using CV Studio while avoiding the one-click app or to avoid CV Studio all together, the course would be better.

By Henry M

Jul 8, 2024

The videos are high quality, however there was some kind of glitch that requires changing the video setting from 720p to something lower, then back, so that you can at least see the video and understand the content - Coursera should have this fixed. A lot of the labs need updating, to match the hosted support systems. There were a lot of deprecation warnings when running the notebook labs and the screen shots students are supposed to use for reference in the IBM labs are out of date with the updated software running there, leaving students to guess what to do next (unrelated to the assignment at hand). The applications would not publish as expected on the IBM Watson site either -- had to do workarounds and complete the final assignment by just running classifications straight out of the Jupyter notebook, and not through the web app as designed. Final assignment was also not clear on what images to process for the final grade and surprises students with much more additional work to search for images online that cannot be controlled or verified for the final grade -- which is 25%. This experience could have been done better. Please redesign it.

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.