Computer Vision
Computer Vision
Everything you need to learn Computer Vision from first principles - what it is, why it matters, every core formula, deep-dive notes, cheat sheets, diagrams, a guide to building your own model, and honest pros & cons.
what-is-computer-vision.md
Computer Vision (CV) is the branch of Artificial Intelligence that gives machines the ability to "see" — to extract, analyze, and understand information from images and videos, then make decisions or predictions from it. In short: it turns pixels into meaning.
why-do-we-need-it.md
- Cameras produce far more visual data than humans can manually review.
- Enables real-time automated decisions (robots, vehicles, factories).
- Unlocks value hidden in unstructured visual data (X-rays, satellite images).
- Powers natural, camera-based human-computer interaction.
- Drives generative creativity — image synthesis, editing, style transfer.
use-cases.tsx
Autonomous vehicles (lane detection, obstacle avoidance)
Medical imaging (tumor detection, X-ray triage)
Retail (shelf monitoring, cashier-less checkout)
Agriculture (crop health, yield estimation via drones)
Security & surveillance (intrusion detection, crowd counting)
Manufacturing (defect detection, robotic pick-and-place)
AR/VR (hand tracking, scene reconstruction)
Document processing (OCR, form parsing)