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Introduction to Computer Vision with OpenCV

10,000.00

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Course Level

Intermediate

Video Tutorials

19

Course content

Week 1-2: Introduction to Computer Vision

Definition and applications of computer vision
Overview of OpenCV and its capabilities
Overview of OpenCV and its capabilities
Image and video processing basics in OpenCV

Week 3-4: Image Processing and Analysis with OpenCV

Week 5-6: Object Detection and Tracking with OpenCV

Week 7-8: Feature Detection and Description with OpenCV

Week 9-10: Machine Learning for Computer Vision with OpenCV

Week 11-12: Advanced Topics and Project Work

About Course

Computer Vision is one of the most exciting fields in Machine Learning and AI. It has applications in many industries, such as self-driving cars, robotics, augmented reality, and much more. In this beginner-friendly course, you will understand computer vision and learn about its various applications across many industries.

As part of this course, you will utilize Python, Pillow, and OpenCV for basic image processing and perform image classification and object detection. This is a hands-on course and involves several labs and exercises. Labs will combine Jupyter Labs and Computer Vision Learning Studio (CV Studio), a free learning tool for computer vision. CV Studio allows you to upload, train, and test your own custom image classifier and detection models. At the end of the course, you will create your own computer vision web app and deploy it to the Cloud. This course does not require any prior Machine Learning or Computer Vision experience. However, some knowledge of the Python programming language and high school math is necessary.

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Material Includes

  • Live Classes
  • 100% Online Course
  • Hands-on Project
  • Shareable Certificate

Instructor

AG
4.44 /5

78 Courses

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Material Includes

  • Live Classes
  • 100% Online Course
  • Hands-on Project
  • Shareable Certificate

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