Computer Vision: AI & Computer Vision
Overview/Description
Expected Duration
Lesson Objectives
Course Number
Expertise Level
Overview/Description
In this course, you'll explore Computer Vision use cases in fields like consumer electronics, aerospace, automotive, robotics, and space. You'll learn about basic AI algorithms that can help you solve vision problems and explore their categories. Finally, you'll apply hands-on development practices on two interesting use cases to predict lung cancer and deforestation.
Expected Duration (hours)
0.8
Lesson Objectives Computer Vision: AI & Computer Vision
discover the key concepts covered in this course
describe how CV is used in electronics and why cheap consumer electronics are not possible without CV
describe how CV is used in the aerospace industry and list the responsibilities of a CV system on an aircraft
describe how CV is used in the automotive industry and its role in the development of self-driving cars
describe how CV is used with robotics and how CV solutions are used in popular robotics products
describe how CV is used in the space industry and the role of CV during space missions
recognize how the performance of Convolutional Neural Network revolutionized CV
classify different types of Convolutional Neural Networks by their structure and purpose
list the steps needed to create an object detection neural network and describe how object detection is performed
list the steps needed to create an image classification neural network and describe how classification is performed
describe image segmentation in broad terms and specify how it may be useful for the industry
specify how images can be generated based on large datasets and describe ways to use generated images
work with datasets to predict how deforestation will behave in the Amazon rainforest
use popular CV libraries to create an MRI image lung cancer detector
summarize the key concepts covered in this course
Course Number: it_aiapcvdj_02_enus
Expertise Level
Intermediate