Applied Computer Vision For Beginners

Applied Computer Vision For Beginners, available at $64.99, has an average rating of 4.3, with 55 lectures, 6 quizzes, based on 12 reviews, and has 96 subscribers.

You will learn about Learn to master computer vision from scratch Learn OpenCV for creating computer vision solutions Learn to build practical computer vision solutions Learn to get a Job as computer vision specialist This course is ideal for individuals who are Anyone who wants to master computer vision from ground up will find this course very useful It is particularly useful for Anyone who wants to master computer vision from ground up will find this course very useful.

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Summary

Title: Applied Computer Vision For Beginners

Price: $64.99

Average Rating: 4.3

Number of Lectures: 55

Number of Quizzes: 6

Number of Published Lectures: 55

Number of Published Quizzes: 6

Number of Curriculum Items: 61

Number of Published Curriculum Objects: 61

Original Price: $39.99

Quality Status: approved

Status: Live

What You Will Learn

Learn to master computer vision from scratch

Learn OpenCV for creating computer vision solutions

Learn to build practical computer vision solutions

Learn to get a Job as computer vision specialist

Who Should Attend

Anyone who wants to master computer vision from ground up will find this course very useful

Target Audiences

Anyone who wants to master computer vision from ground up will find this course very useful

Do You Want To Learn The In-Demand Skills Of Computer Vision?

Here is the perfect solution for you! You can learn Applied Computer Vision from scratch to advance with this comprehensive program. This program helps you learn how to tackle real-world problems with images and media using computer vision and different algorithms. You’ll also get an in-depth knowledge of neural networks and how they can be used for image and vision classification. You can learn basic tasks of Applied Computer Vision like image manipulation, image detection, and color detection to advanced tasks such as age detection, face detection, object detection, tracking, and a lot more.

Major Concepts That You’ll Learn!

Introduction to Images and OpenCV

Advanced Image Manipulation

Advanced Image Operations with OpenCV

Image Filters and Edge Detection

Contour Fitting and Face Detection

Image Classification with Neural Network

If you want to learn and master the art of computer vision using artificial intelligence, this program will help you learn the systems to derive meaningful information from digital images, videos, and other visual inputs.

Top Skills This Program Covers

Computer Vision

Machine Learning

OpenCV

Deep Learning

Artificial Intelligence

Extra Benefits Of This Program

Expert-Curated Content

Learn From Industry Experts

In-Depth Knowledge On Trending Tools & Technologies

So why are you waiting? Get yourself updated with the latest and in-demand Applied Computer vision skills.

Course Curriculum

Chapter 1: Course Introduction

Lecture 1: Course Introduction

Chapter 2: Introduction to Images and OpenCV

Lecture 1: Section 1 Introduction

Lecture 2: Set Up

Lecture 3: Image Representation

Lecture 4: Introducing OpenCV – Part 1

Lecture 5: Introducing OpenCV – Part 2

Lecture 6: Capture Image from Webcam – Part 1

Lecture 7: Capture Image from Webcam – Part 2

Lecture 8: Summary

Chapter 3: Advanced Image Manipulation

Lecture 1: Section 2 Introduction

Lecture 2: Cropping Images

Lecture 3: Change Colors and Draw using Array Manipulation

Lecture 4: Draw and Write using Array Manipulation – 1

Lecture 5: Draw and Write using Array Manipulation – 2

Lecture 6: Image Color Components – 1

Lecture 7: Image Color Components – 2

Lecture 8: Resize and Transpose Images

Lecture 9: Summary

Chapter 4: Advanced Image Operations with OpenCV

Lecture 1: Section 3 Introduction

Lecture 2: Region of Interest in Images

Lecture 3: Color Space Conversion in Images – 1

Lecture 4: Color Space Conversion in Images – 2

Lecture 5: Rotating Image – Part 1

Lecture 6: Rotating Image – Part 2

Lecture 7: Linear Transformation- Part 1

Lecture 8: Linear Transformation- Part 2

Lecture 9: Summary

Chapter 5: Image Filters and Edge Detection

Lecture 1: Section 4 Introduction

Lecture 2: Introduction to Filter – Image Convolution

Lecture 3: Apply Filters to Blur and Sharpen Images – 1

Lecture 4: Apply Filters to Blur and Sharpen Images – 2

Lecture 5: High and Low Pass Filters

Lecture 6: Image Filters

Lecture 7: Image Contours and Edge Detection-1

Lecture 8: Image Contours and Edge Detection – 2

Lecture 9: Summary

Chapter 6: Contour Fitting and Face Detection

Lecture 1: Section 5 Introduction

Lecture 2: Fitting Contours on Images – 1

Lecture 3: Fitting Contours on Images – 2

Lecture 4: Irregular Bounding Curves – 1

Lecture 5: Irregular Bounding Curves – 2

Lecture 6: Face Detection in Images – 1

Lecture 7: Face Detection in Images – 2

Lecture 8: Face Detection in Images – 3

Lecture 9: Summary

Chapter 7: Image Classification with Neural Network

Lecture 1: Section 6 Introduction

Lecture 2: Introduction to AI and Deep Learning

Lecture 3: Deep Learning – Birds Eye View

Lecture 4: Deep Learning Phases

Lecture 5: Deep Learning Evolution

Lecture 6: Introduction to Image Classification with Neural Network

Lecture 7: Training Neural Network – 1

Lecture 8: Training Neural Network – 2

Lecture 9: Training Neural Network – 3

Lecture 10: Summary

Instructors

Eduonix Learning Solutions
1+ Million Students Worldwide | 200+ Courses

Rating Distribution

1 stars: 1 votes

2 stars: 0 votes

3 stars: 1 votes

4 stars: 3 votes

5 stars: 7 votes

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