What is Computer Vision | Computer Vision Tutorial | Codegnan

Understanding Computer Vision
We are awash in images. Smartphones have cameras, and taking a photo or video and sharing it has never been easier earlier, resulting in the incredible growth of modern social networks like Instagram, Whatsapp.YouTube might be the second largest search engine, and hundreds of hours of video are uploaded every minute, and billions of videos are watched every day.

The Internet is comprised of text and images. It is relatively straightforward to index and search text, but algorithms need to know what the images contain to index and search images. For the longest time, the content of images and video has remained opaque, best described using the person’s meta descriptions that uploaded them.

To get the most out of image data, we need computers to “see” an image and understand the content. That’s where the Computer Vision field comes into play. The goal of computer vision is to understand the content of digital images. Typically, this involves developing methods that attempt to reproduce the capability of human vision.

Computer vision is the automated extraction of information from images. Information can mean anything from 3D models, camera position, object detection, and recognition to grouping and searching image content. The goal of computer vision is to extract useful information from images. This has proved a surprisingly challenging task; it has occupied thousands of intelligent and creative minds over the last four decades, and despite this, we are still far from being able to build a general-purpose “seeing the machine.”

In this project, we will see Face Detection and build Face detection using OpenCV. So Face detection has many applications, for instance, let’s take the example of your camera. So whenever you open a camera, you see a box that points to the face so that it can better focus on the faces so that you will have a better picture of yourself or your groups or friends, right? Let’s see how we will build this and detect the faces using the OpenCV library. We will also understand how to read and write images, convert colored images to grayscale, and draw rectangles and circles on our images using the OpenCV library.

Do check code here: https://bit.ly/3rEOY3W

For more valuable content, do register @ https://academy.codegnan.com/.

++++++++++++++Follow us ++++++++++++++++
Facebook: https//facebook.com/codegnan
Instagram: https://instagram/codegnan
Telegram: https://t.me/codegnan
Linkedin: https://www.linkedin.com/company/codegnan

Visit our website: https://codegnan.com

About us:
CodeGnan offers courses in new technologies and niches that are gaining cult reach. This is to ensure that students understand the workflow from each and every perspective in a Real-Time environment. Students can train themselves and enrich their skillset in the best way possible.
We always used to believe in student-centric methods. Every student, if trained in a Real-Time environment can achieve more in their careers. Hence, CodeGnan offers courses where students can access live environments and nourish themselves in the best way possible in order to increase their “CodeGnan”.

With Codegnan, you get an industry-recognized certificate with worldwide validity. You get to reach the heights of your career in a shorter period of time. With your skillset, you can find a place at any top companies in India and worldwide. This will help you to improve your skillset like never before and get access to the top-level placement opportunities that are currently available.

CodeGnan offers courses in new technologies and makes sure students understand the flow of work from each and every perspective in a Real-Time environment.

#ComputerVision #COmputerVisionTutorial #ComputerVisionExamples