Month 11: Computer Vision

Month 11: Computer Vision

Week 1: Introduction to Computer Vision

  • Recap of Machine Learning and Deep Learning Fundamentals
  • Overview of Computer Vision tasks and applications
  • Image Representation

Week 2: Image Processing and Filtering

  • Image Preprocessing Techniques
  • Image Enhancement
  • Filtering Techniques (Gaussian, Sobel, etc.)
  • Edge Detection
  • Feature Detection (Harris, SIFT, etc.)

Week 3: Object Detection and Recognition

  • Object Detection Techniques (Haar Cascades, HOG, etc.)
  • Object Recognition using Feature Descriptors (SURF, ORB, etc.)
  • Convolutional Neural Networks (CNNs) for Object Detection and Recognition

Week 4: Applications of Computer Vision

  • Facial Recognition
  • Image Captioning
  • Autonomous Vehicles
  • Medical Image Analysis