Computer Vision Web Development: YOLOv8 and TensorFlow.js

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Muhammad Moin

16:35:35

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1. Introduction to the Course

1. Introduction.mp4

06:41

2. Building a Photoshop Web Application with OpenCV.js

1. Application Demo.mp4

01:18

2. Template-Layout Overview.mp4

03:22

3.1 CV-Web-Course.zip

3. Template-Reading Images.mp4

51:25

4. Basic Functions - Gray scale, Blur, Edge Detector.mp4

06:33

5. Photoshop Application.mp4

17:31

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

1. Application Demo.mp4

01:59

2.1 CV-Web-Course.zip

2. Template- Side Line, Side Bar, Header, Tablet Container.mp4

26:59

3. Template- Adding Trackbars.mp4

15:27

4. Basic Function - BGRtoHSV, inRange & bitwise_and.mp4

27:03

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

1. Application Demo.mp4

01:30

2.1 CV-Web-Course.zip

2. Shapes Detection using OpenCV.js.mp4

50:13

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

1. Application Demo.mp4

00:51

2.1 CV-Web-Course.zip

2. Detecting Faces in an Image using OpenCV.js and Haar Cascade Classifier.mp4

44:46

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

1. Building the Initial Web App Layout for Live Webcam Face Detection.mp4

30:28

2.1 CV-Web-Course.zip

2. Template- Side Line, Side Bar, Header, Tablet Container.mp4

03:36

3. Face Detection with OpenCV.js & Haar Cascade Classifier Image &Live Webcam Feed.mp4

51:47

7. Video Processing in the Browser with OpenCV.js

1. How to Display and Control Video Playback in the Browser.mp4

05:53

2.1 CV-Web-Course.zip

2. Adding Play and Pause Functionality for Video Control in the Web App.mp4

15:48

3. Convert Video from RGB to Gray Scale using OpenCV.js.mp4

13:10

4. Implementing Face Detection on Video with OpenCV.js and Haar Cascade Classifier.mp4

34:43

5. Enhancing Web App Face Detection on Uploaded Videos using OpenCV.js.mp4

07:32

6. WebApp Layout Makeover Adding Sideline, Sidebar, and Right Panel.mp4

11:31

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

1. Application Demo.mp4

01:46

2.1 CV-Web-Course.zip

2. Template- Side Line, Side Bar, Header, Tablet Container.mp4

45:30

3. Detecting Objects in Images with TensorFlow.js COCO-SSD Model.mp4

09:52

4. Detecting Objects in Images and Live Webcam Feed using TensorFlow.js.mp4

18:17

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

1. Application Demo.mp4

02:25

2.1 CV-Web-Course.zip

2. Detecting Objects in Images with TensorFlow.js COCO-SSD Model.mp4

37:33

3. Detecting Objects in Images and Videos with TensorFlow.js COCO-SSD Model.mp4

45:24

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

1. Application Demo.mp4

01:23

2.1 YOLOv8_to_Tfjs.zip

2. Export YOLOv8 Model Weights to TensorFlow.js Format.mp4

06:34

3.1 CV-Web-Course.zip

3. Detecting Objects in Images using YOLOv8 and TensorFlow.js.mp4

01:09:45

4. Object Detection on Images and Live Webcam Feed using YOLOv8 and TensorFlow.js.mp4

42:46

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

1. Application Demo.mp4

00:48

2.1 YOLOv8_to_Tfjs.zip

2. Export YOLOv8 Model Weights to TensorFlow.js Format.mp4

06:34

3.1 CV-Web-Course.zip

3. Detecting Objects in Images using YOLOv8 and TensorFlow.js.mp4

01:13:22

4. Detecting Objects on Images and Videos using YOLOv8 and TensorFlow.js.mp4

01:03:02

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

1. Application Demo.mp4

01:40

2.1 PPE_Files.zip

2. Fine-Tune Train YOLOv8 Model on Personal Protective Equipment (PPE) dataset.mp4

16:29

3. Export Fine-Tuned YOLOv8 Model Weights on PPE dataset into TensorFlow.js Format.mp4

04:27

4.1 CV-Web-Course.zip

4. Real-Time Personal Protective Equipment Detection in the Browser.mp4

10:23

5. Detecting Personal Protective Equipment (PPE) in Images & Videos in the Browser.mp4

08:04

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

1. Application Demo.mp4

01:52

2.1 Sign-Language.zip

2. Fine-Tune Train YOLOv8 Model on American Sign Language (ASL) Letters dataset.mp4

05:39

3. Export Fine-Tuned YOLOv8 Model Weights on ASL dataset into TensorFlow.js Format.mp4

12:57

4.1 CV-Web-Course.zip

4. Detecting ASL Letters in Images, Videos & in Live Webcam Feed.mp4

18:59

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

1. Application Demo.mp4

00:59

2.1 Licence_Plate_Files.zip

2. Fine-Tune Train YOLOv8 Model on Licence Plate dataset.mp4

10:30

3. Export Fine-Tuned YOLOv8 Model Weights into TensorFlow.js Format.mp4

05:23

4.1 CV-Web-Course.zip

4. Licence Plate Detection in the Browser using YOLOv8 and TensorFlow.js.mp4

10:23

5. Licence Plate Detection and Recognition using YOLOv8 and Tesseract.js (Part- 01).mp4

21:01

6. Licence Plate Detection and Recognition using YOLOv8 and Tesseract.js (Part- 02).mp4

11:42

Description

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

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

Who is this for?

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

What You Need to Know?

Laptop/PC

More details

Description
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 itâ€™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
Who this course is for:
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

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Machine Learning | Computer Vision Engineer with over 3 years of experience working in AI product development. I have worked on state of the art Object Detection and Tracking algorithms including YOLOv8, YOLOv7, YOLOR, YOLOv4 in Tracking I have reviewed and implemented, SORT, DeepSORT and ByteTrack in different projects. I also have an hands on experience on Classical and Traditional Machine Learning Algorithms. I have also reviewed and implemented state of the art Deep Learning Algorithms in different project which include VGG16, ResNet50, GoogLeNet, MobileNet. I have expertise in Natural Language and Time Series Forecasting as well and done plenty of project for different clients as well. I have created a real time Stock Price Forecasting Web App using state of the art Time Series Forecasting Model. I have done deployment on AWS servers, Google Cloud and Heroku as well.

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