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Learner Reviews & Feedback for Python Project: pillow, tesseract, and opencv by University of Michigan

4.0
stars
1,911 ratings

About the Course

This course will walk you through a hands-on project suitable for a portfolio. You will be introduced to third-party APIs and will be shown how to manipulate images using the Python imaging library (pillow), how to apply optical character recognition to images to recognize text (tesseract and py-tesseract), and how to identify faces in images using the popular opencv library. By the end of the course you will have worked with three different libraries available for Python 3 to create a real-world data-analysis project. The course is best-suited for learners who have taken the first four courses of the Python 3 Programming Specialization. Learners who already have Python programming skills but want to practice with a hands-on, real-world data-analysis project can also benefit from this course. This is the fifth and final course in the Python 3 Programming Specialization....

Top reviews

PM

Jun 23, 2020

This last course is much more challenging than the prior four, but provides a very good launch pad for taking what you've learned and getting you actually using the skills in building Python code.

RF

Apr 1, 2021

This course gave great insight in how to approach a new library which I believe is one of the most powerful skills a programmer can have. Keep up the great work that you guys have been doing.

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126 - 150 of 493 Reviews for Python Project: pillow, tesseract, and opencv

By Max H

Aug 24, 2022

Awful. The other courses in this specializtion where great. This course the intruction and documentation where totally insufficient to be able to complete the assignements.

By Gabriel C

Feb 26, 2020

project useless jupyter didn work... peer review wasnt work i have been waiting for ages to be reviewed i had to pay another month to see if i got the certificate.

By Deleted A

Jul 13, 2023

Very disappointed with this specialization. The virtual jupyter notebook is very slow. It take 20 minutes whenever I want to test my code.

By Munshi I H

Apr 26, 2020

This course was a massive jump from the previous ones. No explanatory diagrams, just narration of the contents of the Jupyter notebook.

By QIYI C

Jun 25, 2021

The last course is obviously made mindlessly. And its quality is lower than the others. Making shame on coursera and Michigan

By Yun Y

Jun 17, 2020

The teacher in this lecture is too bad. He just reads the scripts line by line!! I don't think I learned something from him.

By Devansh K

May 31, 2020

As difficult as a course can get with as little as information available to comprehend what exactly have to be done.

By Michael D

Jun 1, 2021

This goes way to fast. I don't like the format and the Jupyter environment makes it much more difficult to learn.

By Deepa M

Apr 27, 2020

simply very time consuming and confusing assignments with no proper explanation about the topics.

By Задойный А

Mar 6, 2020

Бесполезный курс.

Рассказывают одно, спрашивают другое. Связи между ними нет.

By Shahan A

Nov 29, 2020

poorly explained course. assignment instructions often times not clear.

By Shoaib M

Jul 21, 2022

My final grades are being over ridden again and again.

By Thomas D

Jul 22, 2020

Too much focused on image manipulation

By Tomas G A

Jun 25, 2020

Don't waste your money on this course.

By Arrie D W

Aug 6, 2020

Final project submission in text???

By Calvin S

Jun 19, 2020

Waste of time. Go learn PhotoShop

By Arash A

Sep 28, 2022

Rude staff. Avoid this course

By Gbenga S

Jun 2, 2022

not well explained

By Andrew F

Jul 17, 2021

Badly put together

By Romil N

Jun 27, 2020

very little detail

By Yue W

Jul 27, 2021

a waste of life

By Guoxiaorui L

May 22, 2020

terrible course!

By Hennie d N

Oct 19, 2021

shit course!

By Noviyanti K

Dec 3, 2021

very bad

By Shane N

Jun 25, 2021

This course is actually not too bad, except that it can be quite strenuous to debug the code for the final project when it is slow to run certain third party library functions.

It is certainly challenging, given that the first four courses in this specialization might have spoiled you with detailed instruction and easy assessment tasks. But don't forget that this course is flagged as 'intermediate level' instead for 'beginner's level' (frankly, the fourth course, which is also flagged as 'intermediate', is not up to the mark in comparison with other 'intermediate' courses on Coursera -- it should have been flagged as 'beginner'). That being said, if I were the instructor, I might want to smooth the learning curve though. I found a lot of negative comments in the comment section before I actually took the course, so I was a little bit worried. But in general, I did learn a lot from this course and enjoy the process of tackling the challenging final project. Therefore, I reckon it is a useful and inspiring course if you do actually invest time in it. Good luck!