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Introduction to Computer Vision

Discover the fascinating world of Computer Vision in this course! Explore image concepts, representation, and manipulation using Python Imaging Library. Witness the magic of color pixels through engaging demos.

4.63
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Ratings

Beginner

Level

2.25 Hrs

Learning hours

5.7K+
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Learners

Skills you’ll Learn

About this Free Certificate Course

Computer Vision is the branch of Artificial Intelligence that enables machines like cameras and computers to derive meaningful insights from digital images, videos, and other visual inputs. This course is designed to ensure that our learners get complete knowledge about the basics of Computer Vision and the process behind it which typically involves image acquisition, image screening, image analysis, and identifying and extracting information from images. We will understand the basics of Images, representation of Images, Python Imaging Library, OpenCV for Images, Color Pixel, etc. 

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Course Outline

Overview of Computer Vision
Understanding the concept of Images
Representation of Images
Python Imaging Library
Demo - Color Pixels
OpenCV for Images

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Our course instructor

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Dr. Bradford Tuckfield

Data Science Expert

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12.3K+ Learners
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3 Courses
Dr. Bradford is a professional expert in the field of Data Science and Machine Learning at Great Learning. With a strong background in Statistics, Math, and Economics, he has designed and created several courses for aspiring Data Science students worldwide. He also is an author of technical books about Algorithms and Data Science.

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Find out how our platform helped our learners to upskill in their career.

4.63
Course Rating
80%
13%
3%
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Ratings & Reviews of this Course

Reviewer Profile
Shayan Ahmed

5.0

“My Learning Experience is Really Good”
The curriculum and depth of the topics are impressive, and the instructor's way of teaching is also excellent.
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Ranny Lim

5.0

“Engaging and Insightful Learning Experience”
I really enjoyed the interactive elements and hands-on activities. They helped reinforce key concepts in a practical way. The instructors were knowledgeable and approachable, making it easy to ask questions and explore topics in depth. Overall, the blend of theory and application made the learning process both enjoyable and effective!
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Ajmal

5.0

“Great Teachers, the Way the Syllabus was Designed was Really Good”
Great Learning is really a great platform for all in practice.
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CELDD -MAJU

5.0

“Clear and Brief Instructions with Easy to Follow Steps”
I would suggest this course to my friends. It was very informative, and throughout the course, I have learned so many new things.
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Sandeep Kalla

5.0

“A Marvelous Journey into the World of Computer Vision”
I liked the ways of Computer Vision. I am intrigued by the techniques used by computer vision and the way it helps us in the real world.
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Daoues Mouheb

5.0

“A Good Comprehension of Computer Vision and Its Sub-domains”
I like that the course involves a lot of examples related to computer vision.
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Introduction to Computer Vision

2.25 Learning Hours . Beginner

Why upskill with us?

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Free life time Access
10 Million+ learners

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