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Automatic Number Plate Recognition, OCR Web App in Python

Learn to Develop License Plate Object Detection, OCR and Create Web App Project using Deep Learning, TensorFlow 2, Flask
4.8
4.8/5
(3 reviews)
37 students
Created by Data Science Anywhere Team

9.6

CourseMarks Score®

10.0

Freshness

9.1

Feedback

9.1

Content

Platform: Udemy
Price: $11.99
Video: 3h 8m
Language: English
Next start: On Demand

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Detailed Analysis

CourseMarks Score®

9.6 / 10

CourseMarks Score® helps students to find the best classes. We aggregate 18 factors, including freshness, student feedback and content diversity.

Freshness Score

10.0 / 10
This course was last updated on 3/2021.

Course content can become outdated quite quickly. After analysing 71,530 courses, we found that the highest rated courses are updated every year. If a course has not been updated for more than 2 years, you should carefully evaluate the course before enrolling.

Student Feedback

9.1 / 10
We analyzed factors such as the rating (4.8/5) and the ratio between the number of reviews and the number of students, which is a great signal of student commitment.

New courses are hard to evaluate because there are no or just a few student ratings, but Student Feedback Score helps you find great courses even with fewer reviews.

Content Score

9.1 / 10
Video Score: 8.0 / 10
The course includes 3h 8m video content. Courses with more videos usually have a higher average rating. We have found that the sweet spot is 16 hours of video, which is long enough to teach a topic comprehensively, but not overwhelming. Courses over 16 hours of video gets the maximum score.
Detail Score: 9.4 / 10

The top online course contains a detailed description of the course, what you will learn and also a detailed description about the instructor.

Extra Content Score: 9.9 / 10

Tests, exercises, articles and other resources help students to better understand and deepen their understanding of the topic.

This course contains:

2 articles.
2 resources.
0 exercise.
0 test.

Table of contents

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.

Requirements

• Basic knowledge on Python
• Knowledge on Deep learning with Tensor
• Flow
• Basics on HTML

You will learn

✓ Object Detection from Scratch
✓ License Plate Detection
✓ Extract text from Image using Tesseract
✓ Train InceptionResnet V2 in TensorFlow 2 for Object Detection
✓ Flask Based Web API
✓ Labeling Object Detection Data using Image Annotation Tool

This course is for

• Anyone who want to build deep learning project from sctrach
• A python developer who want to develop Number Plate OCR Project
• Anyone who want to learn end to end Deep Learning Project
• Who are curious in developing Web App project in TensorFlow 2

How much does the Automatic Number Plate Recognition, OCR Web App in Python course cost? Is it worth it?

The course costs $11.99. And currently there is a 87% discount on the original price of the course, which was $94.99. So you save $83 if you enroll the course now.

Does the Automatic Number Plate Recognition, OCR Web App in Python course have a money back guarantee or refund policy?

YES, Automatic Number Plate Recognition, OCR Web App in Python has a 30-day money back guarantee. The 30-day refund policy is designed to allow students to study without risk.

Are there any SCHOLARSHIPS for this course?

Currently we could not find a scholarship for the Automatic Number Plate Recognition, OCR Web App in Python course, but there is a $83 discount from the original price ($94.99). So the current price is just $11.99.

Who is the instructor? Is Data Science Anywhere Team a SCAM or a TRUSTED instructor?

Data Science Anywhere Team has created 7 courses that got 220 reviews which are generally positive. Data Science Anywhere Team has taught 7,959 students and received a 4.3 average review out of 220 reviews. Depending on the information available, Data Science Anywhere Team is a TRUSTED instructor.

More info about the instructor, Data Science Anywhere Team

Team of Engineer and Developers
Hi,We’re team of Machine Learning experts, AI developers working together to advance the state of the art in artificial intelligence. You will be hearing from us when new courses are released, answering Q&A and many more.We are here to help you stay on the cutting edge of Data Science and Technology.Thanks, Data Science Anywhere Team

9.6

CourseMarks Score®

10.0

Freshness

9.1

Feedback

9.1

Content

Platform: Udemy
Price: $11.99
Video: 3h 8m
Language: English
Next start: On Demand

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