Automatic Number Plate Recognition, OCR Web App in Python

person icon Srikanth Guskra

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

updated on icon Updated on Sep, 2023

language icon Language - English

person icon Srikanth Guskra

architecture icon Development,Data Science and AI ML,Deep Learning


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Course Description


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.


  • 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.


What will you learn in this course:

  • 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


What are the prerequisites for this course?

  • Basic knowledge on Python
  • Knowledge on Deep learning with TensorFlow
  • Basics on HTML
Automatic Number Plate Recognition, OCR Web App in Python


Check out the detailed breakdown of what’s inside the course

3 Lectures
  • play icon Introduction to the Course 03:01 03:01
  • play icon Project Architecture 03:02 03:02
  • play icon Download the Resources (Code and Data)
5 Lectures
Data Processing
4 Lectures
Deep Learning for Object Detection
8 Lectures
Pipeline Object Detection Model
5 Lectures
Optical Character Recognition (OCR)
3 Lectures
Flask App
4 Lectures
Number Plate Web App
9 Lectures
License Plate Detection with YOLO
20 Lectures

Instructor Details

Srikanth Guskra

Srikanth Guskra

Data Scientist


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