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.
Deep Learning for Object Detection
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Deep Learning for Object Detection
This course is part of multiple programs.
Instructors: Mehdi Alemi
Included with 
Gain insight into a topic and learn the fundamentals.
Beginner level
Recommended experience
8 hours to complete
3 weeks at 2 hours a week
Flexible schedule
Learn at your own pace
What you'll learn
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
Skills you'll gain
Details to know
Shareable certificate
Add to your LinkedIn profile
Assessments
7 assignments
Taught in English
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This course is available as part of
When you enroll in this course, you'll also be asked to select a specific program.
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
- Earn a shareable career certificate
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Share it on social media and in your performance review
There are 4 modules in this course
Get started with object detection by using pre-trained models
What's included
4 videos5 readings1 assignment
Use transfer learning to retrain YOLO models for new applications
What's included
4 videos4 readings1 assignment
Use metrics like recall, precision, and mean average precision to evaluate your models
What's included
2 videos4 readings2 assignments
Apply the full object detection workflow on a final project
What's included
2 videos6 readings3 assignments
Offered by
Recommended if you're interested in Machine Learning
Coursera Project Network
Google Cloud
Google Cloud
Yonsei University
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Frequently asked questions
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.
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
When you enroll in the course, you get access to all of the courses in the Certificate, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.