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January 21, 2025
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This course is part of multiple programs.
Instructors: Mehdi Alemi
Included with
Recommended experience
Beginner level
This course is intended to be taken after completion of Introduction to Deep Learning for Computer Vision.
Recommended experience
Beginner level
This course is intended to be taken after completion of Introduction to Deep Learning for Computer Vision.
Retrain popular YOLO deep learning models for your applications
Visualize results to gain insights into model performance
Evaluate detection models by examining both class and location accuracy.
Analyze labeled images to identify and fix potential data shortcomings
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7 assignments
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Detecting and locating objects is one of the most common uses of deep learning for computer vision. Applications include helping autonomous systems navigate complex environments, locating medical conditions like tumors, and identifying ready-to-harvest crops in agriculture. In the course projects, you will apply detection models to real-world scenarios and train a model to detect various parking signs. Completing this course will give you the skills to train detection models for your application.
By the end of this course, you will be able to: • Explain how deep learning networks locate and classify objects in images • Retrain popular YOLO deep learning models for your application • Use a variety of metrics to evaluate prediction results • Visualize results to gain insights into model performance • Improve model performance by adjusting important model parameters • Analyze labeled images to identify and fix potential shortcomings in your data For the duration of the course, you will have free access to MATLAB, software used by top employers worldwide. The courses draw on the applications using MATLAB, so you spend less time coding and more time applying deep learning concepts.
Get started with object detection by using pre-trained models
4 videos5 readings1 assignment
Use transfer learning to retrain YOLO models for new applications
4 videos4 readings1 assignment
Use metrics like recall, precision, and mean average precision to evaluate your models
2 videos4 readings2 assignments
Apply the full object detection workflow on a final project
2 videos6 readings3 assignments
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University of Colorado Boulder
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Yes. A free license is available to learners enrolled in the course. You must have a computer capable of running MATLAB. You can view the system requirements here.
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If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.
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