Computer Vision 2025

Computer Vision / AIO

0.00JOD

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Description

  This course provides an introduction to computer vision including fundamentals of image formation,

camera imaging geometry, feature detection and matching,

stereo, motion estimation and tracking,

image classification and scene understanding.

Course Videos


Outcomes

 At the end of the course,

the students will be able to: Implement fundamental image processing techniques required for computer vision. Understand Image formation process.

Develop computer vision applications.

Meet Your Instructor

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Mona Qasem qasem

AIO
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  • Sections 13
  • Lessons 13
  • Duration 30
  • Language Arabic
  • Video Subtitle Link
  • Certificate False

Course Syllabus

Chapter 1

Lessons

  • 1 - Introduction to Computer Vision
Chapter 2

Lessons

  • 1 - Deep Neural Networks ANN and Stochastic Gradient Descent
Chapter 3

Lessons

  • 1 - Image Classification 1: The Convolutional Classifier
Chapter 4

Lessons

  • 1 - Image Classification 2: Activation and Pooling
Chapter 5

Lessons

  • 1 - Live session
Chapter 6

Lessons

  • 1 - Data Augmentation
Chapter 7

Lessons

  • 1 - Kaggle
Chapter 8

Lessons

  • 1 - Introduction to OpenCV
Chapter 9

Lessons

  • 1 - Object detection with OpenCV
Chapter 10

Lessons

  • 1 - Live Session 14-12 6:00 pm
Chapter 11

Lessons

  • 1 - Object Detection with YOLO5 part1 - Universities
Chapter 12

Lessons

  • 1 - Object Detection with YOLO5: Roboflow: Data Gathering, Image Preprocessing and Annotation tool - Universities
Chapter 13

Lessons

  • 1 - Object Detection with YOLO5 part3: Application - Universities