Mining Data from Images

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Justin Flett

1:26:34

20 View

01 - Course Overview

01 - Course Overview.mp4

01:58

02 - Calculating Regions of Interest (ROI) in an Image

02 - Introduction.mp4

00:56

03 - Understanding Data Mining and Image Processing.mp4

01:43

04 - Reading, Displaying, and Writing Images.mp4

03:59

05 - Accessing and Modifying Pixel Values.mp4

04:35

06 - Implementing a Region of Interest.mp4

03:50

07 - Summary.mp4

01:33

03 - Calculating the Similarity Between Images

08 - Introduction.mp4

00:59

09 - Understanding Image Comparison.mp4

02:54

10 - Implementing Subtraction Comparison.mp4

08:13

11 - Understanding Histogram Comparison.mp4

04:08

12 - Implementing Histogram Comparison.mp4

03:40

13 - Summary.mp4

01:23

04 - Identifying Common Features Found in an Image

14 - Introduction.mp4

00:54

15 - Understanding Image Features.mp4

04:00

16 - Implementing Corner Detection.mp4

02:21

17 - Implementing Template Matching.mp4

03:41

18 - Implementing Feature Matching.mp4

03:14

19 - Summary.mp4

01:15

05 - Classifying Images into Categories

20 - Introduction.mp4

01:05

21 - Understanding Image Classification.mp4

02:24

22 - Understanding k-Nearest Neighbors.mp4

04:05

23 - Implementing a k-NN System.mp4

03:29

24 - Implementing a Small-scale Image Classification System.mp4

04:01

25 - Implementing a Larger-scale Image Classification System.mp4

02:35

26 - Summary.mp4

01:13

06 - Detect and Identify Objects in an Image

27 - Introduction.mp4

00:38

28 - Understanding Object Detection.mp4

02:33

29 - Implementing Object Detection with Cascade Classifiers.mp4

03:30

30 - Implementing Object Detection with YOLO.mp4

05:45

Description

OpenCV is a widely-used data science and machine learning software library. This course will teach you the basics of Image Processing and Analysis using OpenCV with Python, including feature detection, image classification, and object detection.

What You'll Learn?

Data Science and Machine Learning are rapidly growing fields that use scientific methods and processes to extract useful knowledge and insights from data. In this course, Mining Data from Images, you will learn foundational knowledge of solving real-world data science problems. First, you will learn the basics of implementing image processing problems including regions of interest and image similarity. Next, you will discover how feature detection can be implemented using OpenCV with Python. Finally, you will explore how to understand and implement more complex topics such as image classification and object detection. When you are finished with this course, you will have the skills and knowledge of image analysis and OpenCV needed to solve real-world data science and machine learning problems.

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Python

Machine Learning

Artificial Intelligence

Justin Flett

Instructor's Courses

Justin Flett is a Mechatronics Engineer currently working as a Professor within the Faculty of Applied Science and Technology at Sheridan College. Justin has previously held positions at Hydro One Networks, Ford Motor Company, and ABB Robotics spanning across both the electrical and mechanical engineering industries. Most recently, he has been working as an Product Development Professional specializing in training, services, and consultation nation-wide, ranging from design fundamentals to advanced product development solutions.

Pluralsight

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Pluralsight, LLC is an American privately held online education company that offers a variety of video training courses for software developers, IT administrators, and creative professionals through its website. Founded in 2004 by Aaron Skonnard, Keith Brown, Fritz Onion, and Bill Williams, the company has its headquarters in Farmington, Utah. As of July 2018, it uses more than 1,400 subject-matter experts as authors, and offers more than 7,000 courses in its catalog. Since first moving its courses online in 2007, the company has expanded, developing a full enterprise platform, and adding skills assessment modules.