Computer Vision Projects
Take up free computer vision projects course and learn its various applications and image processing
4.51
Intermediate
3.0 Hrs
8.6K+
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About this course
Computer Vision is a very trending part of Data Science today. Many students want to implement computer vision projects for their final year. Most of the face detection and recognition applications we have today make use of Computer Vision in one way or another. You might have noticed that there are more and more applications of Computer Vision and the list is growing day by day with new Computer Vision projects ideas. This course has been designed to ensure that you get complete knowledge about image processing and how the OpenCV library is used practically with Python. It also becomes crucial that you will get to understand various applications of using Computer Vision along with working with the MNIST and Covid-19 dataset. Top universities, like the UT Austin and SRM Institute of Science and Technology, have partnered with Great Learning to offer various Postgraduate and Degree AIML programs. They provide world-class AIML Courses in the industry, offering learners a first-class education from highly experienced professors. We aim to guide learners to become successful AIML experts.
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Course Outline
Introduction to Image Processing
OpenCV Demo using Python
Introduction to TensorFlow
Computer Vision Applications
MNIST Dataset
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Frequently Asked Questions
Will I receive a certificate upon completing this free course?
Is this course free?
What are some computer vision projects?
Some Computer Vision Projects are as follows:
Face Detection
Face Recognition
Object Detection
Text Recognition
Hand Gesture Recognition
Image Transformation
Number of People detection in an image
Edge Detection
Watermarking Images
Cartoonifying Images
QR code scanner
How do I start a Computer Vision Project ?
To start a computer vision project, first, you need to choose a suitable project for you according to your knowledge in computer vision and python. After that, you should learn about the libraries that are used in that project. After that, you can start working on the project that you have chosen. To create a complex project which requires the use of algorithms, you must be good in math and python programming. You should have a good understanding of various image processing algorithms. Here are the steps that you can use to start a computer vision project:
Find your knowledge level.
Choose a project based on your knowledge and interest.
Find the learnings in that project.
Start learning those skills such as mathematics, algorithms, programming etc.
Learn about the libraries used in that project.
Start working on the project.
What is a computer vision project?
A computer vision project is the implementation of various libraries of python that can be used in computer vision for multiple purposes such as detecting an image, identifying an image, text scanner, QR code scanner, etc. There is a range of computer vision projects. Hence, the practical implementation of computer vision into reality is known as computer vision projects. In this course, you will learn about various computer vision projects
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