Computer Vision: Face Recognition Quick Starter in Python
Course Features
Duration
4.15 hours
Delivery Method
Online
Available on
Limited Access
Accessibility
Desktop, Laptop
Language
English
Subtitles
English
Level
Intermediate
Teaching Type
Self Paced
Video Content
4.15 hours
Course Description
Highlights
Course Credibility
Top 20 Percentile
Pedagogy
Top 20 Percentile
Parameters
Course Credibility
Delivered through O’Reilly a renowned institution in the field, this course offers a comprehensive learning experience.
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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.
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Course Overview
International Faculty
Post Course Interactions
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
Abhilash Nelson
Instructor