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Great Learning
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Artificial Intelligence

Introduction to Computer Vision

Name: Introduction to Computer Vision
Rating: 4.61 (666 reviews)

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.

Instructor:

Dr. Bradford Tuckfield

4.61

Ratings

Beginner

Level

2.25 Hrs

Learning hours

6.1K+

Learners

Enrol free with email

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Introduction to Computer Vision

2.25 Learning Hours . Beginner

Skills you’ll Learn

Computer Vision Overview

Working with Images

OpenCV Basics

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

Our course instructor

Dr. Bradford Tuckfield

Founder - Kmbara & Data Science Consultant

13.2K+ Learners

3 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.

Trusted by 10 Million+ Learners globally

4.8

4.81

4.97

4.7

What our learners say about the course

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

4.61

★★★★

★ ☆

Course Rating

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79%

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13%

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Ratings & Reviews of this Course

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.

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!

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.

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.

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.

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.

Course with completion certificate

Stand out to recruiters

Share on professional channels

Globally recognized

Introduction to Computer Vision

2.25 Learning Hours . Beginner

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