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.
Author Name: Justin Flett
Author Description:
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 adva… more

Table of Contents

• Course Overview
  1min
• Calculating Regions of Interest (ROI) in an Image
  16mins
• Calculating the Similarity Between Images
  21mins
• Identifying Common Features Found in an Image
  15mins
• Classifying Images into Categories
  18mins
• Detect and Identify Objects in an Image
  13mins
• Applying Style Transfer
  11mins