Computer Vision: Face Recognition Quick Starter in Python

Course Cover
compare button icon

Course Features

icon

Duration

4.15 hours

icon

Delivery Method

Online

icon

Available on

Limited Access

icon

Accessibility

Desktop, Laptop

icon

Language

English

icon

Subtitles

English

icon

Level

Intermediate

icon

Teaching Type

Self Paced

icon

Video Content

4.15 hours

Course Description

This course offers a comprehensive introduction to face recognition using Python without requiring a deep understanding of mathematics or complex deep learning concepts. The course covers various topics, including face detection technology, face recognition technology, and the installation of the necessary software dependencies.

Throughout the course, you will learn how to extract and detect faces from images and real-time video captured by a webcam. You will also have the opportunity to customize the face detection program to blur faces detected in the video stream. The course utilizes a pre-trained deep-learning model to recognize facial expressions and predict age and gender.

Additionally, you will learn how to write Python code for face recognition, allowing you to identify faces that have been detected. The course also delves into face distance and modifying landmark points for more accurate face detection.

This course is designed for beginners and individuals interested in learning Python-based face recognition techniques. By completing this course, you will gain practical skills that can be applied in real-world scenarios.

blur
blur

Highlights

blur

Course Credibility

Top 20 Percentile

blur

Pedagogy

Top 20 Percentile

blur

Parameters

cv-icon

Course Credibility

Delivered through O’Reilly a renowned institution in the field, this course offers a comprehensive learning experience.

cv-icon

Pedagogy

Acquire all major Computer Vision skills in this course for seamless integration into your daily life. Develop a versatile skill set, allowing you to confidently apply what you've learned in various practical scenarios, enhancing your daily experiences and overall proficiency. An exceptional course in Computer Vision, this stands out for its Self Paced learning approach. Learners have the flexibility to progress at their own speed, tailoring the experience to their individual needs. With a focus on cultivating industry-relevant skills, this course ensures that learners attain a skillset aligned with current industry demands.

Course Overview

projects-img

International Faculty

projects-img

Post Course Interactions

projects-img

Instructor-Moderated Discussions

Skills You Will Gain

What You Will Learn

Use Python to detect and recognize faces from images and real-time webcam video

Become well-versed with emotion detection

Get up to speed with predicting age and gender from images and real-time webcam video

Target Students

This course is designed for beginners or anyone who wants to get started with Python-based face recognition

Course Instructors

Author Image

Abhilash Nelson

Instructor

Abhilash Nelson is the instructor for this course
Course Cover