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Computer Vision Web Development: YOLOv8 and TensorFlow.js

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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

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  • 1 stars: 1 votes
  • 2 stars: 1 votes
  • 3 stars: 1 votes
  • 4 stars: 4 votes
  • 5 stars: 8 votes

Frequently Asked Questions


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


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