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Computer Vision is a subarea of Artificial Intelligence focused on creating systems that can process, analyze and identify visual data in a similar way to the human eye. There are many commercial applications in various departments, such as: security, marketing, decision making and production. Smartphones use Computer Vision to unlock devices using face recognition, self–driving cars use it to detect pedestrians and keep a safe distance from other cars, as well as security cameras use it to identify whether there are people in the environment for the alarm to be triggered.
In this course you will learn everything you need to know in order to get in this world. You will learn the step–by–step implementation of the 14 (fourteen) main computer vision techniques. If you have never heard about computer vision, at the end of this course you will have a practical overview of all areas. Below you can see some of the content you will implement:
Detect faces in images and videos using OpenCV and Dlib libraries
Learn how to train the LBPH algorithm to recognize faces, also using OpenCV and Dlib libraries
Track objects in videos using KCF and CSRT algorithms
Learn the whole theory behind artificial neural networks and implement them to classify images
Specification: Computer Vision Masterclass
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12 reviews for Computer Vision Masterclass
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| Price | $9.99 |
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| Provider | |
| Duration | 25.5 hours |
| Year | 2021 |
| Level | All |
| Language | English ... |
| Certificate | Yes |
| Quizzes | No |
Pawel Kranzberg –
Looks great.
Larry Chuon –
Good intro and demo of computer vision. I was able to follow along with the exercises as well.
Gabriel Borja –
Great course about computer vision! The instructor is quite knowledgeable about the topic. Really liked the Face detection section. Hoping to get access to the rest of the content.
Shivagangadhar Haranal –
its good but content could be more clear
Khusain62@yahoo.com –
I am having a hard time understanding the accent, unfortunately. Not the instructors fault
Eric Borgard –
Nice introduction to computer vision. Explanation of Haarcascades is not clear enough.
Jahangeer Basha A –
Good Details!
Jugkapong Chaiwongsa –
Great course. Clearly explanations of learning detail.
Param Shah –
It was very helpful.
Satsandhischha –
can u please tell when the other sections will get updated
Muhammad Ammar Jamshed –
Its well layed out but it would have been better had the instructor also given all sample images in the beginning of the lecture
Dmytro Samchuk –
Linux commands explained like cd for change directory. But for the code which is about DL we do just import this file .