The content is great, however there were problems with Open CV affecting the model functioning.

The video dont explain much and the SC studio has too many problem to effectively use it

Too many errors in the course material and a lack of adequate help fixing the problems.

This course's last assignment is with error. I am unable to submit the assignment.

Too many writing mistakes and incorrect code formatting in the labs

the labs are incomplete, we cannot deploy our model on CV studio

More practical knowledge but less technical knowledge.

Good course for computer vision but not best course.

I hope they fix the platform they are using

Doesn't show nothing about computer vision

Good course but lot of technical issues

Course Material needs updated.

bad codes

A gargantuan amount of contents crammed into one small course: OpenCV, Numpy, Pillow, Pytorch, Scikit-learn, Normal Neural Networks, Convolutional Neural Networks, Hyper-parameters search, Fine-tuning, Deployment strategies. I must have forgotten something for sure. Okay for revision, if you have already learned the stuff elsewhere. Absolutely no chance you will remember any of it 1 week after completion otherwise.

A ton of projects, but all just click-through or copy-and-paste a-la Udemy style. One could absolutely understand none of the given code and easily end up with 100% grade from quizzes that only test basic knowledge or could be brute-forced. That is, if you are lucky and don't get docked marks during inadequate peer-assessment. All it takes is just one grumpy student to drop your grade into oblivion... without any feedback or reasons given... possibly because you previously flagged their totally empty submission.

And don't even get me started about IBM constantly pitching their Watson and CV Studio, which no one uses... Which doesn't even work half of the time. Good luck deploying your model on the last project!

Unfortunately, this was the third course in the certificate. If only it were the first one, I would have abandoned this cursed specialization like some dirty diapers.

I have participated in many courses on IBM but this is the first course that I feel very bad. The only good point is the first 2 weeks where they teach you the insights of Pillow and OpenCV. The rest is terrible. I feel like the knowledge is given without a clear explanation. The LAB Section is probably only for Python experts, you won't understand what they do at all if you haven't learned Pytorch before. Just run cell, look at the result, then run cell, look at the result, run cell, and so on... The final project is just like a slideshow no more no less, you follow the steps and show out results, done. You will not learn anything from data-processing step to refine-model step. I gave 2 Stars simply because I was inherently sympathetic to IBM before, but with this course itself, all was disappointment.

Content is very relevant and complete. But often hard to follow. Videos are narrated by a computer generated voice, making it hard to follow, and not well segmented into the different ideas and concepts presented. The labs are basically examples of code for the different models presented in the videos. There is only a minimal amount of own coding required. The graded exams are only multiple choice and no coding is required to pass. Everything I say i based on the first three weeks, then I dropped out. I was quite disappointed by this course.

This course has some of most interesting labs from all this certificate. However, they are full of bugs and outdated information. I spent hours searching for tips and workarounds in the foruns. By the way all my questions are still there waiting for answers.

Overall, it was a frustating experience mixed with some some interesting technologies and approaches.

The labs related to image processing are good, but when it comes to computer vision the labs don't seem to be related much to the theoretical concepts in the video; additionally in the labs the code is not well explained and a simpler implementation might help the learner focus on learning the concepts rather than an advance coding level.

IMO this course is not constructed in a way that supports learning. Particularly, I find that the exercises simply show examples of implementation without guiding the learner to familiarize with the content. Moreover, the focus on CV Studio seems to have mostly promotional relevance.

The trainer sounds so disinterested in lectures. Lectures are monotonous. Also there are bugs in the CV Studio that makes it much harder to submit assignments on time. Course topics are otherwise good, but lots of scope to become better. I don't recommend buying this one.

Course content is good. Too many issues & errors in getting CV Studio working. Submitting assignment had been the most time consuming and frustrating task. People are struggling to submit the assignment and discussion forums are full with these system errors.

I have a lot of problems and issues with this course. And the last 2 questions of the final assignment are not very easy to understand what is it you want. My experience has been so bad I am just glad it is over

Good course, but terribly maintained Lab and Capstone project. Lab has been broken for two weeks. Coursera has however agreed to cancel the last monthly charge, but the labs need some serious TLC…

The cource content was a good overview of nerual networks and thier use in computer vision. The labs however where sloppily put together, and in most cases, not formatted correctly.

Some of the practice notebooks don't seem finished. CVStudio is very unreliable and doing the final project didn't really work (lots of comments in the forum but no action)