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Courses>Data Science>YOLO: Automatic License Plate Detection & Extract text App
DevelopmentYOLO: Automatic License Plate Detection & Extract text App
Price:Paid
Length:5.5 hours
Content type:video
level:all levels
Updated:04 March 2024
Published:21 August 2022
Similar courses
Opportunities
Courses>Data Science>YOLO: Automatic License Plate Detection & Extract text App
YOLO: Automatic License Plate Detection & Extract text App
3.9 (730.0)
5.5 hours
730 students
What you will learn
1Object Detection from Scratch
2License Plate Detection
3Extract text from Image using Tesseract
4Train InceptionResnet V2 in TensorFlow 2 for Object Detection
5Flask Based Web API
6Labeling Object Detection Data using Image Annotation Tool
7Train custom YOLO model from scratch
8Real time license plate detection with YOLO
Target audiences
1Anyone who want to build deep learning project from sctrach
2A python developer who want to develop Number Plate OCR Project
3Anyone who want to learn end to end Deep Learning Project
4Who are curious in developing Web App project in TensorFlow 2
Requirements
1Basic knowledge on Python
2Knowledge on Deep learning with TensorFlow
3Basics on HTML
FAQ
You can view and review the lecture materials indefinitely, like an on-demand channel.
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!
Description

Welcome to NUMBER PLATE DETECTION AND OCR: A DEEP LEARNING WEB APP PROJECT from scratch

Image Processing and Object Detection is one of the areas of Data Science and has a wide variety of applications in the industries in the current world. Many industries looking for a Data Scientist with these skills. This course covers modeling techniques including labeling Object Detection data (images), data preprocessing, Deep Learning Model building (InceptionResNet V2), evaluation, and production (Web App)

We start this course Project Architecture that was followed to Develop this App in Python. Then I will show how to gather data and label images for object detection for Licence Plate or Number Plate using Image Annotation Tool which is open-source software developed in python GUI (pyQT).

Then after we label the image we will work on data preprocessing, build and train deep learning object detection model (InceptionResnet V2) in TensorFlow 2. Once the model is trained with the best loss, we will evaluate the model. I will show you how to calculate the

  • Intersection Over Union (IoU)

  • The precision of the object detection model.

Once we have done with the Object Detection model, then using this model we will crop the image which contains the license plate which is also called the region of interest (ROI), and pass the ROI to Optical Character Recognition API Tesseract in Python (Pytesseract). In this model, I will show you how to extract text from images.  Now, we will put it all together and build a Pipeline Deep Learning model.

In the final module, we will learn to create a web app project using FLASK Python. Initially, we will learn basics concepts in Flask like URL routing, render the template, template inheritance, etc. Then we will create our website using HTML, Bootstrap. With that we are finally ready with our App.

WHAT YOU WILL LEARN?

  • Building Project in Python Programming

  • Labeling Image for Object Detection

  • Train Object Detection model (InceptionResNet V2) in TensorFlow 2.x

  • Model Evaluation

  • Optical Character Recognition with Pytesseract

  • Flask API

  • Flask Web App Development in HTML, Boostrap, Python


We know that Computer Vision-Based Web App is one of those topics that always leaves some doubts. Feel free to ask questions in Q & A and we are very happy to answer all your questions.

We also provided all Notebooks, py files in the resources which will useful for reference.

Similar courses
Opportunities
Make the most out of your online education
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All rights reserved
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Careertail
Courses>Data Science>YOLO: Automatic License Plate Detection & Extract text App
DevelopmentYOLO: Automatic License Plate Detection & Extract text App
Price:Paid
Length:5.5 hours
Content type:video
level:all levels
Updated:04 March 2024
Published:21 August 2022
Similar courses
Opportunities
Courses>Data Science>YOLO: Automatic License Plate Detection & Extract text App
YOLO: Automatic License Plate Detection & Extract text App
3.9 (730.0)
5.5 hours
730 students
What you will learn
1Object Detection from Scratch
2License Plate Detection
3Extract text from Image using Tesseract
4Train InceptionResnet V2 in TensorFlow 2 for Object Detection
5Flask Based Web API
6Labeling Object Detection Data using Image Annotation Tool
7Train custom YOLO model from scratch
8Real time license plate detection with YOLO
Target audiences
1Anyone who want to build deep learning project from sctrach
2A python developer who want to develop Number Plate OCR Project
3Anyone who want to learn end to end Deep Learning Project
4Who are curious in developing Web App project in TensorFlow 2
Requirements
1Basic knowledge on Python
2Knowledge on Deep learning with TensorFlow
3Basics on HTML
FAQ
You can view and review the lecture materials indefinitely, like an on-demand channel.
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!
Description

Welcome to NUMBER PLATE DETECTION AND OCR: A DEEP LEARNING WEB APP PROJECT from scratch

Image Processing and Object Detection is one of the areas of Data Science and has a wide variety of applications in the industries in the current world. Many industries looking for a Data Scientist with these skills. This course covers modeling techniques including labeling Object Detection data (images), data preprocessing, Deep Learning Model building (InceptionResNet V2), evaluation, and production (Web App)

We start this course Project Architecture that was followed to Develop this App in Python. Then I will show how to gather data and label images for object detection for Licence Plate or Number Plate using Image Annotation Tool which is open-source software developed in python GUI (pyQT).

Then after we label the image we will work on data preprocessing, build and train deep learning object detection model (InceptionResnet V2) in TensorFlow 2. Once the model is trained with the best loss, we will evaluate the model. I will show you how to calculate the

  • Intersection Over Union (IoU)

  • The precision of the object detection model.

Once we have done with the Object Detection model, then using this model we will crop the image which contains the license plate which is also called the region of interest (ROI), and pass the ROI to Optical Character Recognition API Tesseract in Python (Pytesseract). In this model, I will show you how to extract text from images.  Now, we will put it all together and build a Pipeline Deep Learning model.

In the final module, we will learn to create a web app project using FLASK Python. Initially, we will learn basics concepts in Flask like URL routing, render the template, template inheritance, etc. Then we will create our website using HTML, Bootstrap. With that we are finally ready with our App.

WHAT YOU WILL LEARN?

  • Building Project in Python Programming

  • Labeling Image for Object Detection

  • Train Object Detection model (InceptionResNet V2) in TensorFlow 2.x

  • Model Evaluation

  • Optical Character Recognition with Pytesseract

  • Flask API

  • Flask Web App Development in HTML, Boostrap, Python


We know that Computer Vision-Based Web App is one of those topics that always leaves some doubts. Feel free to ask questions in Q & A and we are very happy to answer all your questions.

We also provided all Notebooks, py files in the resources which will useful for reference.

Similar courses
Opportunities
Make the most out of your online education
Careertail
Copyright © 2021 Careertail.
All rights reserved
Quick Links
Get StartedLog InAbout UsCourses
Company
BlogContactsPrivacy PolicyCookie PolicyTerms and Conditions
Stay up to date
Trustpilot