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Bewertung und Feedback des Lernenden für Introduction to Computer Vision and Image Processing von IBM Skills Network

810 Bewertungen

Über den Kurs

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....



12. Nov. 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.


19. Aug. 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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76 - 100 von 167 Bewertungen für Introduction to Computer Vision and Image Processing

von Oyenola P

5. Juli 2022

n​ice and great

von 121910304029 D A

5. Jan. 2021

good experiance

von Subhajit S

20. Apr. 2020

awesome course.

von José M C G

19. Sep. 2021

Nice Course!


24. Aug. 2021

Nice Course.

von Marcos Q V

1. Okt. 2019

Great course

von Tanjim Z K

27. Juni 2020

nice course

von Iván B

25. Jan. 2020


von Fadhel A S

22. Aug. 2019

Nice course

von Amir P

21. Feb. 2022


von Skeshari

19. Mai 2020

Very Nice

von Cristian R

21. Juli 2019



18. Dez. 2020


von 121910304017 V K M

10. Dez. 2020


von Soumyajit D

29. Sep. 2020


von 121910306014 S M

19. Dez. 2020



16. März 2022


von Sumeet S

23. März 2020

I liked the course, but as usual, some connections failed in labs. It interrupts the flow, and is frustrating for working professionals who take out those precious 2 hours every day just for the course and end up getting stuck in a place because of some bugs. Apart from that, I learned good stuff in this course.

von K. Y W

7. März 2020

Another very practical lab filled approach. Thanks to the Discussion Forum participants, I was helped to resolve difficulties encountered during the lab work. Gained insights of examples of Computer Vision in daily life from the course. Thank you.

von Vaidehi V

24. Mai 2020

Week 4 could really use better instructions in web app deployment. It becomes too complicated for a non-coding person to go through the multiple code errors in the Jupyter Notebook. The instructions are somewhat haphazard and they don't work.

von Steven W

28. Juli 2022

Alhough the course content was very good, the fact that CVStudio would not deploy my capstone project wasted my time. Apparently this has been a problem for a number of people over the course of many months.

von Abhijeet S

18. Juli 2020

Please ensure to re-check the peer-reviwers remarks . For no reason i was awarded 0 for the final assignment .

Course content is good . But if evaluations do not happen properly . Its not trust worthy .

von Sreenivasa M

13. Dez. 2020

Course is good but Watson service in IBM Cloud ran into issues repeatedly, Unfortunately! I hope IBM and community will be able to support and guide better. Thanks for the course.

von andrew g

18. Dez. 2019

much better use of notebooks, and good to be able to compare openCV's (free) capabilities and use Watson computer vision directly via API. Liked the classroom videos too.

von Arnel V

11. Mai 2020

Some of these modules need to fix some errors that exist on the IBM Cloud. Had to constantly look for discussions that open topics on what needs to be worked on.