Udemy

Platform

English

Language

Other

Category

Building a Face Detection and Recognition Model From Scratch

Using Machine Learning and Computer Vision

3.82 (287 reviews)

Students

1 hour

Content

Jan 2021

Last Update
Regular Price


What you will learn

Face Detection

Face Recognition

OpenCV

Computer Vision


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



Screenshots

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
Building a Face Detection and Recognition Model From Scratch

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


Reviews

A
Adusumilli18 February 2021

the course is really good, but I had some problem in installing pip and there is no guidance provided for it, please tell about it.

L
Lokesh26 January 2021

Machine Learning, Computer Vision and OpenCV theories must have more theory/information. More explanation is needed on why instructor is using certain algorithms instead of all other available algorithms.

A
Andrés22 December 2020

Faltó mas explicación de los comandos. No todos corrieron, hubo que hacer correcciones a los archivos.

A
Arman19 December 2020

There should be little more explanation part on each step, otherwise it was great. Thanks for the efforts.

E
Erfan17 December 2020

That was a great course for image detection and recognition. I develop it from scratch by myself and get good results. But I had to change some lines of code to work properly. Thank you very much Yaswanth Sai Palaghat

B
Bravish16 December 2020

cv2 error ImportError: No module named cv2 tried everything, I guess its the general issue with the library itself

E
Eligio16 December 2020

It was fun and perfect small project. Easy to understand, some functionality need to google which is part of learning i guess but the basic has been explain well. Thanks

D
Dhuthapati14 December 2020

Feeling content on successful completion of this course. Learned about new things. The instructor explanation was a piece of cake and can be understood for everyone. Thank you, Yashwant for the great course.

P
P13 December 2020

i want to tell you that the key == 27 in the code represents the ASCII value of the Escape key in the keyboard. You could have explained more in detail about how Haarcasade_frontalFace code? LBPH code? How these codes are written?

N
Niharika23 November 2020

If you are looking for a Project on Face Detection or Recognition, it is best and straight forward. Unlike other courses which has hours of content but little info, this is best and simple. Even execution is explained in a very clear manner.

R
Rahul16 October 2020

This is one of the best courses I have come to so far. It starts from scratches to an advanced level. It will give you to make a good final year project.


Coupons

DateDiscountStatus
12/15/2020100% OFFExpired
8/6/2021100% OFFExpired

3337742

Udemy ID

7/16/2020

Course created date

8/12/2020

Course Indexed date
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