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Introduction to Computer Vision

star 4.61  Beginner level 2.25 learning hrs 6.6K+ Learners

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.

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About this 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

Get access to the complete curriculum once you enroll in the course

Introduction to Computer Vision

rating icon 4.61

2.25 Hours

Beginner

6.6K+ learners enrolled so far

Get free course content

Master in-demand skills & tools

Test your skills with quizzes

Trusted by 10 Million+ Learners globally

Learner reviews of the Free Courses

4.61
79%
13%
4%
1%
3%
Reviewer Profile
Muhammad Awais Gohar

5.0

“Introduction to Computer Vision AI”
Computer vision is a field of AI that enables machines to interpret and understand visual data from the world, allowing them to recognize objects, make decisions, and perform tasks autonomously.
Reviewer Profile
Abdul Muizz Rajput

5.0

“Feedback on Introduction to Computer Vision”
The content was well-structured, starting from basic principles and moving towards more advanced topics. The use of real-world examples and practical applications helped in understanding how computer vision is applied in various scenarios.
Reviewer Profile
Ali Maaz Cheema

4.0

“Introduction to Computer Vision with Insight about OpenCV and Image Composition”
I got to know what computer vision is, its applications, and how it is used in Python.
Reviewer Profile

5.0

India
“Very Good Computer Vision Course”
Best computer vision explanation ever. All my concepts were cleared by this course.
Reviewer Profile

5.0

Morocco
“It Was an Amazing Experience”
Well, the instructions were quite easy to understand, and the course was as informative as I had expected. Many thanks!
Reviewer Profile

5.0

“Computer Vision: A Field of AI”
Computer vision is transforming industries, enabling automation, real-time processing, and advanced applications like augmented reality and self-driving cars.
Reviewer Profile

5.0

Philippines
“Computer Vision: Understanding Digital Images”
Enabling computers to identify and understand objects and people in images and videos.
Reviewer Profile

5.0

Nigeria
“Course for Computer Vision is a Really Educating Course”
The course was really educating and understanding. I really enjoyed the video quality, tutor, and quiz.
Reviewer Profile

5.0

“Course of Introduction to Computer Vision”
I appreciated the clarity of the explanations and the practical approach that allowed me to immediately apply what I learned.
Reviewer Profile

4.0

“It Was a Really Good Course”
It was a good experience with this course. It really helped me in understanding well through the learning videos, and also the quiz helped me to check my abilities and how well I understood the whole course.

Our course instructor

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Dr. Bradford Tuckfield

Co-Founder & Director, Wilson Consulting

Artificial Intelligence Expert

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50.4K+ Learners
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6 Courses
Dr. Bradford Tuckfield is a Data Science Consultant at his company, Kmbara, where he provides automated, data-centric solutions in domains like Manufacturing, Pharmaceuticals, Marketing, and Technology. He is also an author, has written books on Data Science, Computer Science, and Algorithms, and works as an instructor at ViaX and Great Learning. Dr. Bradford completed his Doctor of Philosophy (Ph.D.) from the Wharton School in Operations and Information Management. He comes from a background in Mathematics and Economics and has wide expertise in Data Science, including Statistics, Programming, and Machine Learning.

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