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)