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Building a Face Detection and Recognition Model From Scratch
Rating: 3.8 out of 5(620 ratings)
48,471 students

Building a Face Detection and Recognition Model From Scratch

Using Machine Learning and Computer Vision
Created byYaswanth Sai Palaghat
Last updated 1/2021
English

What you'll learn

  • Face Detection
  • Face Recognition
  • OpenCV
  • Computer Vision

Course content

5 sections • 14 lectures • 1h 12m total length

  • Introduction0:45

    Build a face detection and recognition model from scratch using the OpenCV library, applying practical computer vision and deep learning techniques to identify and detect faces.

  • About the Instructor0:27

    Meet the instructor who introduces themselves, outlines their background in content design, and invites students to follow on social media for updates on new courses.

Requirements

  • Basic knowledge of Python is preferred

Description

Face detection and recognition are among the most widely used applications of computer vision today, powering technologies in security, biometrics, authentication systems, and even social media. If you’ve ever wondered how these systems work and want to build one yourself, this course is the perfect starting point.

In this hands-on course, you’ll learn how to design and implement a Face Detection and Recognition model from scratch using Python and OpenCV, one of the most popular computer vision libraries. We’ll begin with the basics of face detection — understanding how machines identify human faces in images or video streams. From there, you’ll move on to face recognition, where the model learns to distinguish and identify unique individuals.

You’ll follow a step-by-step project-based approach, coding alongside the instructor to ensure you gain both theoretical understanding and practical skills. Along the way, you’ll explore how computer vision integrates with machine learning to solve real-world problems and build a complete application that can be extended for advanced use cases.

By the end of this course, you will:

  • Understand the fundamentals of face detection and recognition

  • Gain experience using Python and OpenCV for computer vision tasks

  • Build a fully functional face recognition project from scratch

  • Have access to complete course code for reference and practice

Prerequisites: Basic knowledge of Python and access to any operating system.

Enroll today to build your first major computer vision project and take a big step into the world of AI and machine learning.

Who this course is for:

  • Computer Vision enthusiasts
  • Python developers who are passionate about Machine Learning
  • Students and Professionals who want to develop their first Computer Vision/Machine Learning major project

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