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CV4Faces : Best Project Award Fall 2018

November 14, 2018 7 Comments

November 14, 2018 By 7 Comments

It gives me immense pleasure to announce the best project award for our online course "Computer Vision for Faces" (cv4faces) for this semester. Why do we have a Final Project in our course? ...

Ceda Fusia Senior Software Engineer

The course exceeded my expectations in many regards — especially in the depth of information supplied. The keyword "engineering oriented" surprised me nicely.

Leo Quiroa Head of AI, Synapbox

The way they explain all the concepts are very clear and concise. This understanding is a crucial part to build a solid foundation in order to pursue a computer vision career.

Sergio Silva Math Instructor

I was doing a self-study on AI, when I came across with Opencv summer course. I can sure tell you that this course has opened my mind to a world of possibilities.

Felipe Verdés Wolukanis Robotics Engineering, Warsaw University of Technology

I took this course because of the experts that were ahead of it and the availability to see the code implementations in both languages, C++ and Python.

Ikbel Boulabiar PhD in HCI, Founder of Concepta.me and Aptum

I really enjoyed this course which exceeded my expectations. It summarize the important computer vision aspects you should know which are now eclipsed by deep-learning-only courses.

Satheesh Babu Software Engineer

I am really impressed with the mix of rich content offered in the course (video + text + code), the reliable infrastructure provided (cloud based execution of programs), assignment grading and fast response to questions

Floris Alexandrou Computer Science Student, University of Central Lancashire

The only course I've ever bought online and it's totally worth it. There are lots of material which are challenging and applicable to real world scenarios.

Prem Chedella Software Programmer, King Abdullah University of Science and Technology

The course is divided into weekly lessons, those are crystal clear for different phase learners. The authors of the lessons and source code are experts in this field.

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In 2007, right after finishing my Ph.D., I co-founded TAAZ Inc. with my advisor Dr. David Kriegman and Kevin Barnes. The scalability, and robustness of our computer vision and machine learning algorithms have been put to rigorous test by more than 100M users who have tried our products.

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CV4Faces : Best Project Award Fall 2018

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