Machine Learning for Computer Vision
Master computer vision techniques using MATLAB to classify images and detect objects through practical machine learning applications.
Master computer vision techniques using MATLAB to classify images and detect objects through practical machine learning applications.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Computer Vision for Engineering and Science Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
4.8
(18 ratings)
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What you'll learn
Implement image classification workflows
Develop object detection systems
Create and evaluate machine learning models
Optimize model performance with custom training
Apply computer vision in practical applications
Skills you'll gain
This course includes:
11 Hours PreRecorded video
12 assignments
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate
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There are 4 modules in this course
This comprehensive course teaches machine learning applications in computer vision using MATLAB. Students learn to perform image classification and object detection tasks through hands-on projects. The curriculum covers data preparation, feature extraction, model training, and evaluation techniques. Practical applications include classifying street signs and detecting material defects, providing real-world experience in computer vision implementation.
Image Classification with Machine Learning
Module 1 · 3 Hours to complete
Image Classification Using Bag of Features
Module 2 · 2 Hours to complete
Evaluating Classification Models
Module 3 · 2 Hours to complete
Object Detection with Machine Learning
Module 4 · 3 Hours to complete
Fee Structure
Instructors
Manager Online Courses
Brandon Armstrong is a Principal Online Content Developer at MathWorks. He earned a Ph.D. in physics from the University of California at Santa Barbara in 2010.
Online Course Developer at MathWorks
Amanda Wang is an Online Course Developer at MathWorks, specializing in creating educational content related to MATLAB and its applications in computer vision and deep learning. She holds dual Bachelor's degrees in Mathematics with Computer Science and Business Analytics from the Massachusetts Institute of Technology (MIT), which she completed in 2020. Currently, Amanda is pursuing a Master’s degree in Computer Science from the University of Illinois Urbana-Champaign.
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4.8 course rating
18 ratings
Frequently asked questions
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