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Computer Vision Web Development- YOLOv8 and TensorFlow.js

  • Development
  • Apr 15, 2025
SynopsisComputer Vision Web Development: YOLOv8 and TensorFlow.js, av...
Computer Vision Web Development- YOLOv8 and TensorFlow.js  No.1

Computer Vision Web Development: YOLOv8 and TensorFlow.js, available at $19.99, has an average rating of 4.05, with 53 lectures, based on 15 reviews, and has 195 subscribers.

You will learn about 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 This course is ideal for individuals who are Deep Learning – Computer Vision Enthusiast or For everyone aspiring to develop Computer Vision applications on the web. or For those diving into Computer Vision and eager to explore Real-Time Object Detection in the browser using YOLOv8 and TensorFlowjs It is particularly useful for Deep Learning – Computer Vision Enthusiast or For everyone aspiring to develop Computer Vision applications on the web. or For those diving into Computer Vision and eager to explore Real-Time Object Detection in the browser using YOLOv8 and TensorFlowjs.

Enroll now: Computer Vision Web Development: YOLOv8 and TensorFlow.js

Summary

Title: Computer Vision Web Development: YOLOv8 and TensorFlow.js

Price: $19.99

Average Rating: 4.05

Number of Lectures: 53

Number of Published Lectures: 53

Number of Curriculum Items: 53

Number of Published Curriculum Objects: 53

Original Price: $94.99

Quality Status: approved

Status: Live

What You Will 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
  • Who Should Attend

  • Deep Learning – Computer Vision Enthusiast
  • For everyone aspiring to develop Computer Vision applications on the web.
  • For those diving into Computer Vision and eager to explore Real-Time Object Detection in the browser using YOLOv8 and TensorFlowjs
  • Target Audiences

  • Deep Learning – Computer Vision Enthusiast
  • For everyone aspiring to develop Computer Vision applications on the web.
  • For those diving into Computer Vision and eager to explore Real-Time Object Detection in the browser using YOLOv8 and TensorFlowjs
  • 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 Curriculum

    Chapter 1: Introduction to the Course

    Lecture 1: Introduction

    Chapter 2: Building a Photoshop Web Application with OpenCV.js

    Lecture 1: Application Demo

    Lecture 2: Template-Layout Overview

    Lecture 3: Template-Reading Images

    Lecture 4: Basic Functions – Gray scale, Blur, Edge Detector

    Lecture 5: Photoshop Application

    Chapter 3: Creating a Web Application for Color Detection using OpenCV.js

    Lecture 1: Application Demo

    Lecture 2: Template- Side Line, Side Bar, Header, Tablet Container

    Lecture 3: Template- Adding Trackbars

    Lecture 4: Basic Function – BGRtoHSV, inRange & bitwise_and

    Chapter 4: Developing a Web Application for Shape Detection using OpenCV.js

    Lecture 1: Application Demo

    Lecture 2: Shapes Detection using OpenCV.js

    Chapter 5: Web App: Detecting Multiple Faces with OpenCV.js & Haar Cascade Classifier

    Lecture 1: Application Demo

    Lecture 2: Detecting Faces in an Image using OpenCV.js and Haar Cascade Classifier

    Chapter 6: Building a Real-Time Face Detection App with OpenCV.js & Haar Cascade Classifier

    Lecture 1: Building the Initial Web App Layout for Live Webcam Face Detection

    Lecture 2: Template- Side Line, Side Bar, Header, Tablet Container

    Lecture 3: Face Detection with OpenCV.js & Haar Cascade Classifier: Image &Live Webcam Feed

    Chapter 7: Video Processing in the Browser with OpenCV.js

    Lecture 1: How to Display and Control Video Playback in the Browser

    Lecture 2: Adding Play and Pause Functionality for Video Control in the Web App

    Lecture 3: Convert Video from RGB to Gray Scale using OpenCV.js

    Lecture 4: Implementing Face Detection on Video with OpenCV.js and Haar Cascade Classifier

    Lecture 5: Enhancing Web App: Face Detection on Uploaded Videos using OpenCV.js

    Lecture 6: WebApp Layout Makeover: Adding Sideline, Sidebar, and Right Panel

    Chapter 8: Real-time Object Detection in the Browser using TensorFlow.js and COCO-SSD Model

    Lecture 1: Application Demo

    Lecture 2: Template- Side Line, Side Bar, Header, Tablet Container

    Lecture 3: Detecting Objects in Images with TensorFlow.js COCO-SSD Model

    Lecture 4: Detecting Objects in Images and Live Webcam Feed using TensorFlow.js

    Chapter 9: Object Detection in Images & Videos in Browser using TensorFlow.js & COCO-SSD

    Lecture 1: Application Demo

    Lecture 2: Detecting Objects in Images with TensorFlow.js COCO-SSD Model

    Lecture 3: Detecting Objects in Images and Videos with TensorFlow.js COCO-SSD Model

    Chapter 10: Real-time Object Detection in the Browser using YOLOv8 and TensorFlow.js

    Lecture 1: Application Demo

    Lecture 2: Export YOLOv8 Model Weights to TensorFlow.js Format

    Lecture 3: Detecting Objects in Images using YOLOv8 and TensorFlow.js

    Lecture 4: Object Detection on Images and Live Webcam Feed using YOLOv8 and TensorFlow.js

    Chapter 11: Object Detection in Images & Videos in the Browser using YOLOv8 & TensorFlow.js

    Lecture 1: Application Demo

    Lecture 2: Export YOLOv8 Model Weights to TensorFlow.js Format

    Lecture 3: Detecting Objects in Images using YOLOv8 and TensorFlow.js

    Lecture 4: Detecting Objects on Images and Videos using YOLOv8 and TensorFlow.js

    Chapter 12: Personal Protective Equipment (PPE) Detection using YOLOv8 and TensorFlow.js

    Lecture 1: Application Demo

    Lecture 2: Fine-Tune/ Train YOLOv8 Model on Personal Protective Equipment (PPE) dataset

    Lecture 3: Export Fine-Tuned YOLOv8 Model Weights on PPE dataset into TensorFlow.js Format

    Lecture 4: Real-Time Personal Protective Equipment Detection in the Browser

    Lecture 5: Detecting Personal Protective Equipment (PPE) in Images & Videos in the Browser

    Chapter 13: American Sign Language (ASL) Letters Detection using YOLOv8 and TensorFlow.js

    Lecture 1: Application Demo

    Lecture 2: Fine-Tune/ Train YOLOv8 Model on American Sign Language (ASL) Letters dataset

    Lecture 3: Export Fine-Tuned YOLOv8 Model Weights on ASL dataset into TensorFlow.js Format

    Lecture 4: Detecting ASL Letters in Images, Videos & in Live Webcam Feed

    Chapter 14: Licence Plate Detection and Recognition using YOLOv8 and Tesseract.js

    Lecture 1: Application Demo

    Lecture 2: Fine-Tune/ Train YOLOv8 Model on Licence Plate dataset

    Lecture 3: Export Fine-Tuned YOLOv8 Model Weights into TensorFlow.js Format

    Lecture 4: Licence Plate Detection in the Browser using YOLOv8 and TensorFlow.js

    Lecture 5: Licence Plate Detection and Recognition using YOLOv8 and Tesseract.js (Part- 01)

    Lecture 6: Licence Plate Detection and Recognition using YOLOv8 and Tesseract.js (Part- 02)

    Instructors

  • Computer Vision Web Development- YOLOv8 and TensorFlow.js  No.2
    Muhammad Moin
    Instructor
  • Rating Distribution

  • 1 stars: 1 votes
  • 2 stars: 1 votes
  • 3 stars: 1 votes
  • 4 stars: 4 votes
  • 5 stars: 8 votes
  • Frequently Asked Questions

    How long do I have access to the course materials?

    You can view and review the lecture materials indefinitely, like an on-demand channel.

    Can I take my courses with me wherever I go?

    Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!