An Introduction to Face and Object Detection Using OpenCV

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  • An Introduction to Face and Object Detection Using OpenCV

FINXTER PREMIUM

Intermediate

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Course

Python Basics

7 Lessons

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Intel's OpenCV is an open-source library for real-time computer vision, featuring GPU acceleration.

In this course, you'll learn how to use OpenCV to perform facial recognition, gesture recognition, object detection, segmentation, robotics, and other machine learning applications.

An Introduction to Face and Object Detection Using OpenCV

FINXTER PREMIUM

FINXTER PREMIUM

FINXTER PREMIUM

FINXTER PREMIUM

FINXTER PREMIUM

FINXTER PREMIUM

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About the teacher

Hwei Geok Ng

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16 thoughts on “”

  1. unisense80@gmail.com

    Hi Hwei!
    Does this course require machine learning skill to catch up deep insides?
    Or what are the formal prerequisites for the successful completion of the course?
    Can I earn money by acquiring the knowledge you provided here on OpenCV?

    1. Hey, it’s Chris. 🙂
      Thanks for the comment – this course is more an overview course so you don’t necessarily need ML skills. Regarding the 2nd question: YES! This is a highly sought-after skill set on freelancing platforms such as Upwork or Fiverr.

      1. unisense80@gmail.com

        Hello Chirs!

        I’m back after a long time!
        I just wanted to know if your ML & DL courses are self-contained so I don’t require to look for resources scattered across the web??

        If your provided resources on ML & DL can lead an AI practitioner from beginner’s level to working level directly without conceptual skips , it would be an unique approach unlike most of the sites, I figure! It would reduce learners’ drop-outs significantly!
        It would help a learner’s productivity immensely by saving big amount of time used for groping good, packed and self-dependent contents to enter job market directly!!

        What you think on this? : )

        1. Thanks for this! 🙂 Well – my philosophy is that nothing is self-contained. We are always building upon external knowledge. But even if something is not self-contained, it’ll still enhance your skills because you’ll be able to connect it with existing bits of knowledge. Speaking in CS terms: knowledge is a network, and not a linked list. 😉

          I like your idea of focusing more on data science and ML. We actually focus more and more on exponential technologies and trends – that are Blockchain, freelancing, and machine learning. So, expect future courses in those areas! 🙂

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