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 detecting objects. You will apply the entire machine learning workflow, from preparing your data to evaluating your results. By the end of this course, you’ll train machine learning models to classify images of street signs and detect material defects. You will use MATLAB throughout this course. 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 course duration 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.
SV
Excellent course to learn ML fundamentals in computer vision field.
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This is a very efficient and painless way to learn Computer Vision - by watching short videos, reviewing Matlab code examples, and then writing your own. Several courses are offered in this genre. Mathworks has pulled it all together really well: you reinforce what you've learned and have a chance to fill in any gaps while working through the quiz questions. I highly recommend these MathWorks courses!
Excellent course to learn ML fundamentals in computer vision field.
Nice and various project. Good job MathWorks :)
Excellent!
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