Automatic Number Plate Recognition, OCR Web App in Python

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 l



abel 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.