Automatic License Plate Detection & Text Extraction App 2022-2 – Download

Explanation

YOLO: Automatic License Plate Recognition & Text Extraction App, Image Processing and Object Recognition is one of the fields of Data Science and has various applications in the current world industry. Many industries are looking for Data Scientist with these skills. The course covers modeling techniques including Object Detection data coding (images), data preparation, Building a Deep Learning Model (InceptionResNet V2), evaluation, and production (Web App). followed to develop this Python App. Then I will show you how to collect and annotate the images to identify the object of the license plate or number plate using the Image Annotation Tool which is an open source software developed in python GUI (pyQT).

After labeling the image we will work on data preparation, building and training a deep learning object detection model (InceptionResnet V2) in TensorFlow 2. Once the model is trained for the best loss, we will evaluate the model. We will show you how to calculate Once we have done the Object Detection mode, then using this mode we will cut the image that contains the plate which is also known as the region of interest (ROI), and pass the ROI to Optical . Tesseract API Character ID for Python (Pytesseract). In this model, I will show you how to extract text from images. Now, we’re going to put it all together and build a Deep Learning Pipeline model. In the last chapter, we will learn how to create a web app project using FLASK Python. First, we will learn the basic concepts of Flask such as URL redirection, template creation, template inheritance, etc. So we will create our website using HTML, Bootstrap. And that we are finally ready with our App.

What will you learn?

  • Identifying the Scratch Object
  • License Plate Recognition
  • Extract text from image using Tesseract
  • Train InceptionResnet V2 in TensorFlow 2 for Object Detection
  • Flask Based Web API
  • Labeling Object Permissibility Data Using Image Diffusion Tool
  • Train your unique YOLO style from scratch
  • Real-time license plate acquisition with YOLO

Who is this course for?

  • Anyone who wants to build a deep learning project from scratch
  • A python developer who wants to do a Number Plate OCR Project
  • Anyone who wants to learn an end to end Deep Learning project
  • Who is interested in developing a TensorFlow 2 Web App project

Exclusive to YOLO: Automatic License Plate Detection & Text Extract App

Includes 2023-5

YOLO_ Automatic License Plate Detection & Text Extraction App

Requirements

  • Basic knowledge of Python
  • Knowledge about TensorFlow deep learning
  • Basics of HTML

Pictures

YOLO_ Automatic License Plate Detection & Text Extraction App

Sample Clip

Installation Guide

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Subtitle : English

Quality: 720p

Download Links

Download Part 1 – 1 GB

Download Part 2 – 1 GB

Download Part 3 – 1 GB

Download Part 4 – 862 MB

Password file: free download software

file size

3.84 GB

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