wow

ok

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.

This course provides detailed understanding of Image Processing, Image Classification and Object Detection. But one thing I'd suggest is to take this course after completing the course on PyTorch else model building code won't be easy to understand as it has used PyTorch.

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.

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.

A very well course for the beginner in Computer Vision, you will understood the basic theory and codes use in CV and also some intermediate level of object detection ,machine learning models code which I love to do.

I recommend that remove watson studio from this course because of troble with account creating and final project deploying. It can be beetter to use google colab instead of ibm cloud an watson studio.

cheers.

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.

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 .

The course itself was very insightful and helpful. However, I had some difficulties accessing some of the extra tools which caused a delay in my progress. Everything else was great.

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.

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.

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.

There was a few bugs, but some I was able to get around, others weren't important. The course was very interesting and a good foundation into computer vision

There are a few issues with the labs. Please review them. Additionally it would be helpful to provide instructions in every lab for federated users.

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.

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

Very interesting course to go for if you are interested in furthering your understanding in computer vision concepts

I didn't like the fact that signing to a particular vendor's cloud service was made mandatory part of the project.

Good introduction, but the practical exercises require minimal involvment from the learner's side unfortunately.

great learning opportunity with hands on codes, suggest to improve some of the lab jupyter notebook errors

Great Course! Consider that it is mostly practical and there is not much theory explained in the course.

Good beginner course, the final project could be a bit more tricky, but the overall teaching is good :)

It needs more code explanations, but it is good as the introduction of the theoretical concepts.