Introduction to Computer Vision

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Course Outline

Introduction
  • Introduction to Computer Vision
Image Foundation
  • Image Formation
  • Image Filtering
  • Edge Detection
Image Features
  • Feature Detection
Machine Learning
  • Fundamentals Concepts for Machine Learning
  • Walkthrough on Machine Learning Algorithms
  • Machine Learning for Image Classification
Deep Learning
  • Neural Networks for Computer Vision

Course Details

Computer vision is a field of artificial intelligence (AI) that enables computers and systems to derive meaningful information from digital images, videos and other visual inputs — and take actions or make recommendations based on that information. ( IBM )

In this course, you will learn computer vision goal-oriented and discussion based. This course would be perfect match for beginners in computer vision who are proficient in Python programming OR for the undergrad students who are currently studying Computer Science, IT Engineering, Mathematics, Physics or any related field.

Prerequisites

  • Basic Python Programming Skill
  • Personal Computer
instructor

Instrustor: Eaint Lay Hmone

I am a student studying at the University of Technology (Yatanarpon Cyber City). I am originally a Computer Science student and now I currently focus on AI, specializing in Computer Vision. I have been studying AI since 2020 and have done many Computer Vision Projects. The projects include Social Distancing Detector, Face Mask Detector, Myanmar Ethnic Flag Classification, and Chess Piece Detection. Now I am working as a Team Associate at Thate Pan Hub’s Artificial Intelligence Team- Curriculum Development and Innovation Subunit.

20000 MMK per month Duration : 8 weeks (including project)

Class 1: Wed(9pm-10:30am) Thur(9pm-10:30am) Class2: Wed(6pm-7:30pm) Thur(6pm-7:30pm)

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