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Building a Face Detection and Recognition Model From Scratch

Using Machine Learning and Computer Vision

4.15 / 5.0
25592 students1 hours 12 minutes

Created by Yaswanth Sai Palaghat, offered on Udemy

bestcourses score™

Student feedback

6.6/10

To make sure that we score courses properly, we pay a lot of attention to the reviews students leave on courses and how many students are taking a course in the first place. This course has a total of 25592 students which left 307 reviews at an average rating of 4.15, which is average.

Course length

8.7/10

We analyze course length to see if courses cover all important aspects of a topic, taking into account how long the course is compared to the category average. This course has a length of 1 hours 12 minutes, which is pretty short. This might not be a bad thing, but we've found that longer courses are often more detailed & comprehensive. The average course length for this entire category is 5 hours 59 minutes.

Overall score

6.8/10

This course currently has a bestcourses score of 6.8/10, which makes it an average course. Overall, there are probably better courses available for this topic on our platform.

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


What you will learn

  • Face Detection
  • Face Recognition
  • OpenCV
  • Computer Vision

Requirements

  • Basic knowledge of Python is preferred
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Frequently asked questions

  • Price: $34.99
  • Platform: Udemy
  • Language: English
  • 1 hours 12 minutes
Building a Face Detection and Recognition Model From Scratch thumbnail

bestcourses score: 6.8/10

There might be better courses available for this topic.