The Ultimate Beginners Guide to Face Detection & Recognition

4.6

Learners: 342

Instructor: Jones GranatyrGabriel AlvesAI Expert Academy

Duration:

This course is the ultimate guide for beginners to learn about face detection and recognition techniques. It covers topics such as detection of faces using Haarcascade, HOG, MMOD, and SSD, as well as detection of other objects, such as eyes, smiles, clocks, bodies, and cars. It also covers recognition of faces using Eigenfaces, Fisherfaces, LBPH, and advanced Deep Learning techniques. Learners will learn how to compare the performance of the algorithms and build their custom dataset capturing faces via webcam. With more than 60 lectures and 8 hours of step by step videos, this course is the perfect way to get started with facial detection and recognition. ▼▲

Course Feature Course Overview Course Provider Discussion and Reviews

Go to class

Course Feature

Cost:

Paid

Provider:

Udemy

Certificate:

Paid Certification

Language:

English

Start Date:

2023-04-27

Course Overview

❗The content presented here is sourced directly from Udemy platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.

Updated in [July 27th, 2023]

This course provides a comprehensive look at facial detection and recognition techniques for new learners. It covers topics such as detection of faces using Haarcascade, HOG (Histogram of Oriented Gradients), MMOD (Max-Margin Object Detection), and SSD (Single Shot Multibox Detector), as well as detection of other objects, such as eyes, smiles, clocks, bodies, and cars. It also covers recognition of faces using Eigenfaces, Fisherfaces, LBPH (Local Binary Patterns Histograms), and advanced Deep Learning techniques. Learners will be able to compare the performance of the algorithms and build their own custom dataset capturing faces via webcam. All implementations will be done step by step using Google Colab online. The course includes more than 60 lectures and 8 hours of step by step videos.