About this Specialization
Cameras are an integral component in many new technologies. Autonomous systems use cameras to navigate their environment, while doctors use small cameras to help guide minimally invasive surgical techniques. It is essential that engineers use computer vision techniques to extract information from these types of images and videos. In this specialization, you’ll gain the computer vision skills underpinning many of today’s top jobs. Specifically, you’ll: Perform object detection Train image classification models Use features to track objects and align images Detect motion in video Implement multi-object tracking You will use MATLAB throughout this specialization. MATLAB is the go-to choice for millions of people working in engineering and science and provides the capabilities you need to accomplish your computer vision tasks. You will be provided free access to MATLAB for the duration of the specialization to complete your work. To be successful in this specialization, it will help to have some prior image processing experience. If you are new to image data, it’s recommended to first complete the Image Processing for Engineering and Science specialization.
| From | MathWorks via Coursera |
|---|---|
| Hours | 60 |
| Instructors | Matt Rich, Amanda Wang, Megan Thompson, Brandon Armstrong, Isaac Bruss |
| Language | English |
| Subjects | Data Science Engineering Programming |
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Careers
An overview of related careers and their average salaries in the US. Bars indicate income percentile (33rd - 99th).
Computer Vision Specialist $74k
Computer Vision - Engineer $76k
Computer Vision Engineer (SME) $78k
Computer Vision & 3D Perception $84k
Computer Vision Software Developer $84k
Sensors & Computer Vision Engineer $85k
Computer Scientist, Vision & Learning $88k
Computer Vision R&D Scientist $98k
Computer Vision Algorithms Engineer $100k
Applied Scientist, Computer Vision $156k
Research Scientist, Computer Vision $163k
Senior Computer Vision Scientist $187k
Courses in this Specialization
Listed in the order in which they should be taken
| Starts | Course Information | |
|---|---|---|
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Jul |
Introduction to Computer Vision In the first course of the Computer Vision for Engineering and Science specialization, you’ll be introduced to computer vision. You'll learn and use the most common algorithms for... Coursera | MathWorks |
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Jul |
Machine Learning for Computer Vision In the second course of the Computer Vision for Engineering and Science specialization, you will perform two of the most common computer vision tasks: classifying images and... Coursera | MathWorks |
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Jul |
Object Tracking and Motion Detection with Computer Vision In the third and final course of the Computer Vision for Engineering and Science specialization, you will learn to track objects and detect motion in videos. Tracking objects and... Coursera | MathWorks |
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| From | MathWorks via Coursera |
|---|---|
| Hours | 60 |
| Instructors | Matt Rich, Amanda Wang, Megan Thompson, Brandon Armstrong, Isaac Bruss |
| Language | English |
| Subjects | Data Science Engineering Programming |
Careers
An overview of related careers and their average salaries in the US. Bars indicate income percentile (33rd - 99th).
Computer Vision Specialist $74k
Computer Vision - Engineer $76k
Computer Vision Engineer (SME) $78k
Computer Vision & 3D Perception $84k
Computer Vision Software Developer $84k
Sensors & Computer Vision Engineer $85k
Computer Scientist, Vision & Learning $88k
Computer Vision R&D Scientist $98k
Computer Vision Algorithms Engineer $100k
Applied Scientist, Computer Vision $156k
Research Scientist, Computer Vision $163k
Senior Computer Vision Scientist $187k
Similar Courses
Sorted by relevance
