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Computer Vision Web Development: YOLOv8 and TensorFlow.js

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  • 263 Students
  • Updated 12/2023
4.4
(23 Ratings)
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Course Information

Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
16 Hour(s) 35 Minute(s)
Language
English
Taught by
Muhammad Moin
Rating
4.4
(23 Ratings)
3 views

Course Overview

Computer Vision Web Development: YOLOv8 and TensorFlow.js

OpenCV.js, TensorFlow.js, YOLOv8, Object Detection, Custom Object Detection, Computer Vision and Web Integration

Computer Vision Web Development course will take you from the very basics right up till you are comfortable enough in creating your own web apps. By the end of the course, you will have the skills and knowledge to develop your own computer vision applications on the web. Whether it’s Custom Object Detection or simple Color Detection you can do almost everything on the web.

This comprehensive course covers a range of topics, including:

  • Basics of Web Development

  • Basics of Computer Vision

  • Basics of OpenCV js

  • Computer Vision and Web Integration

  • Graphical Interface

  • Video Processing in the Browser using OpenCV.js

  • Object Detection

  • Custom Object Detection

  • TensorFlow for JavaScript

  • Deep Learning on the Web

  • Computer Vision Advanced

  • Creating 10+ CV Web Apps

  • Building a Photoshop Web Application with OpenCV.js

  • Real-Time Face Detection in the Browser with OpenCV.js & Haar Cascade Classifier

  • Real-time Object Detection in the Browser using YOLOv8 and TensorFlow.js

  • Object Detection in Images & Videos in the Browser using YOLOv8 & TensorFlow.js

  • Personal Protective Equipment (PPE) Detection in the Browser using YOLOv8 and TensorFlow.js

  • American Sign Language (ASL) Letters Detection in the Browser using YOLOv8 and TensorFlow.js

  • Licence Plate Detection and Recognition in the Browser using YOLOv8 and Tesseract.js

Course Content

  • 10 section(s)
  • 53 lecture(s)
  • Section 1 Introduction to the Course
  • Section 2 Building a Photoshop Web Application with OpenCV.js
  • Section 3 Creating a Web Application for Color Detection using OpenCV.js
  • Section 4 Developing a Web Application for Shape Detection using OpenCV.js
  • Section 5 Web App: Detecting Multiple Faces with OpenCV.js & Haar Cascade Classifier
  • Section 6 Building a Real-Time Face Detection App with OpenCV.js & Haar Cascade Classifier
  • Section 7 Video Processing in the Browser with OpenCV.js
  • Section 8 Real-time Object Detection in the Browser using TensorFlow.js and COCO-SSD Model
  • Section 9 Object Detection in Images & Videos in Browser using TensorFlow.js & COCO-SSD
  • Section 10 Real-time Object Detection in the Browser using YOLOv8 and TensorFlow.js

What You’ll Learn

  • Basics of Web Development
  • Basics of Computer Vision
  • Basics of OpenCV js
  • Computer Vision and Web Integration
  • Graphical Interface
  • Video Processing in the Browser using OpenCVjs
  • Object Detection
  • Custom Object Detection
  • TensorFlow for JavaScript
  • Deep Learning on the Web
  • Creating 10+ Computer Vision Web Apps
  • Real-Time Object Detection in the browser using YOLOv8 and TensorFlowjs
  • Personal Protective Equipment (PPE) Detection in the Browser using YOLOv8 and TensorFlowjs
  • American Sign Language (ASL) Letters Detection in the Browser using YOLOv8 and TensorFlowjs
  • Licence Plate Detection and Recognition in the Browser using YOLOv8 and Tesseractjs

Reviews

  • R
    Rafael Isleyter Hualcas López
    5.0

    es bastante bueno pero me gustaría que cambiaria de idioma en español

  • S
    Siddique
    5.0

    The course content is amazing, all the concepts are very well explained

  • P
    Priyank Bolia
    1.0

    Completed useless course, 99% of the course content is junk and talk about making stupid application in html and css. Only 1% talk about OpenCV and only few functions are used. For Shape Detection contours are used, no HoughLines, etc. The author of the course has just basic knowledge and shows few functions, without even knowing what these functions do and explaining its parameters.

  • N
    Nazaruddin Nurcharis Zubaidi
    4.5

    good course

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