← Computer Vision learning path
Computer Vision · Module 1 of 10

Introduction to computer vision

Computer vision teaches machines to understand images and video.

📖 Key ideas

  1. Computer vision (CV) extracts meaning from images and video.
  2. Tasks: classification, detection, segmentation, tracking, OCR.
  3. Used in face unlock, self-driving cars, medical scans, retail checkout.
  4. Images are grids of pixels with colour channels (RGB).
  5. Modern CV relies on deep learning (CNNs, Vision Transformers).
💡 Real-life example: Computer vision is giving a computer eyes and a brain to understand what it sees.
PixelSmallest unit of an image
RGBRed, green, blue colour channels
Image classificationLabelling the whole image
OCROptical Character Recognition