The Ultimate Beginners Guide to Face Detection & Recognition

Course Feature

Cost

Paid
Provider

Udemy
Certificate

Paid Certification
Language

English
Start Date

2023-04-27
Learners

No Information
Duration

No Information
Instructor

Jones GranatyrGabriel AlvesAI Expert Academy

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4.6

342 Ratings

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.

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The Ultimate Beginners Guide to Face Detection & Recognition

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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.

Course Syllabus

Introduction

Face detection

Face recognition

Final remarks

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