Building a Face Detection and Recognition Model From Scratch

Building a Face Detection and Recognition Model From Scratch

Building a Face Detection and Recognition Model From Scratch

Using Machine Learning and Computer Vision

Language: english

Note: 3.9/5 (358 notes) 32,419 students

Instructor(s): Yaswanth Sai Palaghat

Last update: 2021-01-14

What you’ll learn

  • Face Detection
  • Face Recognition
  • OpenCV
  • Computer Vision

 

Requirements

  • Basic knowledge of Python is preferred

 

Description

Build your first major project on Face Detection and Recognition model using Python, Machine Learning and Computer Vision library called OpenCV. In this course, you will build a model along with me from scratch.

Pre-Requisities:

  • Basic Knowledge on Python

  • Any Operating System

Languages and Technologies used:

  • Python(3x)

  • OpenCV library

  • Machine Learning and Computer Vision

Outcome:

  • Build a complete project from scratch

  • Complete code used in the course will be provided


 

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

 

Course content

  • Introduction
    • Introduction
    • About the Instructor
  • Theory and Resources
    • OpenCV
    • Haarcascade
    • LBPH Face Recognizer
  • Installing Libraries
    • Setting up Folder Structure
    • Installing Libraries
  • Developing the model
    • Creating a folder
    • Creating a Dataset
    • Training the model
    • Face Recognition Part-1
    • Face Recognition Part-2
  • Output
    • Execution and Output
    • Youtube (Bonus)

 

Building a Face Detection and Recognition Model From Scratch

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