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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.

Instructor:

Dr. Bradford Tuckfield
Beginner

Level

2.25 Hrs

Learning hours

6.4K+
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Introduction to Computer Vision

2.25 Learning Hours . Beginner

Enroll free with email

Skills you will 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
OpenCV for Images

Earn a certificate of completion

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Get free course content

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Learn at your own pace

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Master in-demand skills & tools

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Test your skills with quizzes

Introduction to Computer Vision

2.25 Learning Hours . Beginner

Enroll free with email

Trusted by 10 Million+ Learners globally

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4.89
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4.7

Our course instructor

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Dr. Bradford Tuckfield

Co-Founder & Director, Wilson Consulting

Artificial Intelligence Expert

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27.7K+ 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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