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

4.3

stars

1,412 ratings

About the Course

Unlock the power of computer vision to add intelligence to images and videos! This course equips you with practical skills to understand and apply computer vision (CV)—a rapidly growing branch of AI and machine learning that drives innovations from self-driving cars to augmented reality. Through guided, hands-on labs using Python, Pillow, and OpenCV, you’ll perform essential image processing tasks such as filtering, enhancement, classification, and object detection—all within JupyterLab Notebooks for a seamless learning experience. By the end of the course, you’ll apply transfer learning with a pre-trained deep neural network to build an image classification model, experimenting with different hyperparameters to enhance its performance on a provided dataset. To take this, you need to have a foundational knowledge of Python, machine learning, and deep learning. In just a few weeks, you’ll learn to turn pixels into insights and launch your journey into AI-powered visual intelligence. Enroll today and start creating the future with computer vision!...

Top reviews

May 19, 2021

very informative course which truly helped me learn .The labs service however is very bad but teaching staff is always there to help

Feb 20, 2021

Great class! Only issue was that the final project grading criteria was not in line with the instructions and intent of the project.

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76 - 100 of 311 Reviews for Introduction to Computer Vision and Image Processing

By Alfonso A M

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Dec 10, 2019

Very good course. in general in most of the courses the duration for the labs are understimated

By Chibuike A

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May 14, 2023

An Excellent course requires extra effort as it can be overwhelming, nevertheless a good course

By Aftab H

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Sep 15, 2021

It is a concept building and very clear course with pracitical. Thanks, Coursera and IBM Team.

By Sainath C

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Sep 12, 2020

helped me a lot to understand open cv and image classification and many more from this course

By Dragonfly_19

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Jul 9, 2021

I learned a lot and enjoyed this course very much. It is just right for a beginner like me.

By Philopatear S

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Feb 26, 2020

Good Content but very hard to submit assignments as the web page is getting lots of errors

By christopher a

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Nov 15, 2019

Nice overview of the possibilities of Waston Computer Vision APIs and intro to OpenCV

By Anish

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Jan 19, 2022

It's an excellent course to get introduced to Computer Vision and Image Processing.

By Abdelkarim

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Feb 28, 2021

Very instructive course who wants to get started in Computer vision field generally.

By ds225229131 M D S

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Sep 10, 2023

VALUABLE COURSE FOR UPGRADE OUR KNOWLEDGE FREQUENTLY THANK YOU FOR THIS OPPORTUNIES

By Sadeq S H G

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Aug 21, 2024

It is an excellent and exciting course with important information and techniques.

By Emmanuel E E

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Oct 11, 2021

The course is very useful for image classification and objection detection.

By PRAVIN K P

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Aug 13, 2024

This course help me to move one step ahead in my AI Engineering journey.

By Malaka G

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May 17, 2023

Great course for image processing. Very well-organized essay to follow.

By kumari p k

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Jun 16, 2020

The pattern of learning the course is good .And it had helped me a lot

By Max S

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Nov 6, 2025

Great Course! Very Interesting but have some technical problems...

By MATTHIAS T

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Apr 16, 2022

Perfect presentation of theoretical aspects in the videos.

By Syahilan S

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May 10, 2023

Useful for getting started on Computer Vision Projects.

By shreebuvan

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Mar 22, 2020

Excellent Course for beginners to know basics of opencv

By Hassan B

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Oct 13, 2022

It's an amazing course that focuses more on hands-on!

By Amen A

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Oct 8, 2021

A great introduction to deep learning, thank you.

By 林靖翰

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Jul 30, 2021

The teaching of this course is clear and complete

By Samira G

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Mar 29, 2020

outstanding course. I really enjoyed it! THANKS

By Carsten B

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Dec 5, 2022

This is a great course about computer vision.

By Pentti L

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Jun 10, 2020

Very good course. Difficulties with last lab.