Building a Face Detection and Recognition Model From Scratch
Using Machine Learning and Computer Vision
Bullstrack
4.4
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Building a Face Detection and Recognition Model From Scratch udemy course
Using Machine Learning and Computer Vision
What you'll learn:
- Installing OpenCV and setting up with MS Visual 2013
- Understanding and Using OpenCV library function
- Face tracking (Real-time and also from image)
- Object Tracking (Real-time and also from image)
- Using it with Arduino (or other microcontroller)
Requirements:
- Basic computer handling knowledge
- Visual studio with website feature
- Basic knowledge of asp .net
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
Who this course is for:
- Computer Vision enthusiasts
- Python developers who are passionate about Machine Learning
- Students and Professionals who want to develop their first Computer Vision/Machine Learning major project
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Course Details:
- 1 hour on-demand video
- 5 downloadable resources
- Full lifetime access
- Access on mobile and TV
- Certificate of completion
Building a Face Detection and Recognition Model From Scratch udemy free download
Using Machine Learning and Computer Vision
Demo Link: https://www.udemy.com/course/building-a-face-detection-and-recognition-model-from-scratch/
