Computer Vision Basics

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Below are the top discussions from Reddit that mention this online Coursera course from University at Buffalo.

By the end of this course, learners will understand what computer vision is, as well as its mission of making computers see and interpret ... Enroll for free.

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Taught by
Radhakrishna Dasari
and 1 more instructor

Offered by
University at Buffalo

Reddit Posts and Comments

0 posts • 5 mentions • top 5 shown below

r/computervision • post
18 points • Kaori4Kousei
Next step after completing computer vision basics?

My target: is to develop projects involving computer vision like object detection, face recognition, eye gaze tracking, etc and to also know how things are happening in the background.

What I've done yet: I've successfully completed an introductory course by university of buffalo (Computer Vision Basics), and I am half way through their next course on Image Processing, Features and Segmentation. The quality of the content provided, degraded overtime for this image processing course so I have kept the course on hold until the staff starts updating the exercises, etc. The syllabus of the course was very interesting like, edge detection, corner detection, 2-D Convolution Sobel Filter.

On MATLAB I've implemented 2-D Convolution Sobel Filter, implemented Prokudin-Gorskii method by combing RGB of an image with SSD within each layer of them.

Parallel to this, I've completed 50% of the book Practical Python and OpenCV By Adrian Rosebrock (Author of PyImageSearch).

I've also done AndrewNG course till Logistic Regression and I am thinking about to continue it as Machine Learning is very helpful in Computer Vision.

What I am currently doing: I've started ECSE-4540 but, I am unable to find any of its assignments online. If I will not solve the assignment questions then how will I be able to fully understand the concepts?

I am continuing the book by Adrian Rosebrock.


I am an undergraduate who barely gets free 3-4 hours per day, can't waste it on something which doesn't lead to anywhere. I am looking for source/path that if I strictly follow will surely lead me to a point from which I can start working on my own projects. I am looking forward to get an internship related to Computer Vision/Machine Learning next year.

So, what should I do? Continue ECSE-4540 without assignments? Start something new? Delve directly in OpenCV?


Thank you!

r/cscareerquestions • comment
1 points • x_pricefield_x

I'm currently doing a master's in CSE with courses more focused on computer vision. If you need help with what ladder you should follow, you can DM me. Btw,

This is one of the courses offered on Coursera and one of my favourite to learn the basics. Go take a look when you have time. Just a heads up, current CV scene involves a lot of classical techniques fused with ML models, and a lot of the intuition for ML models have been derived through the classical techniques.

r/AskComputerScience • comment
2 points • KhalidJamalKLK
r/learnmachinelearning • comment
1 points • oldkottor

It is a bit strange that your classes were stopped. I teach "Basics of AI and NNs" course at a uni and I continued my lectures and students made their term works while staying in touch online.

I would concentrate on Coursera in your case, but maybe on more computer vision courses if it is a topic of your choice.

There are some more dedicated ones as, for example:

And spend some time on math also, you will eventually hit a barrier that cannot be surpassed without sufficient math knowledge.

r/computervision • comment
1 points • enes81

I also wanna start a CV course in this time. I couldn't decide yet but here is a list of courses I found.