Guide to Computer Vision: Key operations you need to know

Welcome to the 17th episode of my engineering exploration series! In this article, we will explore the fundamentals of computer vision. We’ll start with the basics of how images are processed in a computer and journey through to advanced deep-learning models that extract information, make inferences, and detect objects in images and videos. We’ll also take a closer look at one of the most renowned models in the field: YOLO. Are you ready to uncover the magic behind computer vision? Let’s get started.

Computer Vision

Computer vision is a common operation in our daily lives, powering modern technology in remarkable ways. It enables us to gain a high-level understanding of digital images and videos, automating tasks typically performed by human vision and making decisions based on the data extracted. Because of these impressive capabilities, Computer Vision is recognized as a sub-field of Artificial Intelligence (AI).

Some Fascinating Facts:

• Visual Data Explosion: Over 3 billion images are shared online every day, generating a tremendous amount of visual data
• Rapid Advancements: In just a decade, Computer Vision systems have improved from 50% to nearly 99% accuracy.
• Market Growth: The Computer vision market (hardware and software) is currently valued at USD 25.41 billion and is expected to grow to over USD 175 billion by 2032.

Computer vision is not just a technological marvel; it’s a transformative force reshaping various industries and our everyday experiences.

This article has been moved to the link: https://medium.com/@thebinayak/guide-to-computer-vision-key-operations-you-need-to-know-806ef06f03a2