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Artificial Intelligence Beginner

Computer Vision Tutorial

Learn Computer Vision from scratch. Explore digital image processing, OpenCV, object detection, facial recognition, and Convolutional Neural Networks (CNNs).

20 chapters 8h 5m 4.8 (106)
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What you'll learn

  • Introduction to Computer Vision
  • Understanding Digital Images
  • Image Processing Basics
  • Working with Pixels and Colors
  • Image Transformations and Filtering
  • Edge Detection and Feature Extraction
  • Object Detection Fundamentals
  • Face Detection and Recognition

Course content

20 chapters Β· 8h 5m
  1. 1 Introduction to Computer Vision 15 min
  2. 2 Understanding Digital Images 15 min
  3. 3 Image Processing Basics 15 min
  4. 4 Working with Pixels and Colors 20 min
  5. 5 Image Transformations and Filtering 20 min
  6. 6 Edge Detection and Feature Extraction 20 min
  7. 7 Object Detection Fundamentals 25 min
  8. 8 Face Detection and Recognition 20 min
  9. 9 Optical Character Recognition (OCR) 20 min
  10. 10 Image Classification Basics 25 min
  11. 11 Introduction to Convolutional Neural Networks (CNNs) 30 min
  12. 12 Deep Learning for Computer Vision 30 min
  13. 13 Working with OpenCV 25 min
  14. 14 Real-Time Video Processing 25 min
  15. 15 Computer Vision Datasets and Annotation 20 min
  16. 16 Building Vision Projects with Python 40 min
  17. 17 AI Ethics and Bias in Computer Vision 20 min
  18. 18 Computer Vision in Real-World Applications 25 min
  19. 19 Building a Complete Computer Vision Project 45 min
  20. 20 Computer Vision Interview Questions and Practice Challenges 30 min