Udemy – Automatic License Plate Recognition, OCR Web App in Python 2021-4 – Download

explanation

Automatic License Plate Recognition, OCR Web App in Python is a course on building model license plate recognition, OCR, and web projects using deep learning, Flow Tensor 2, and the Flask framework. Image processing and object recognition are among the subtopics of data science and have wide applications in industries across the world. Many companies are looking for data science professionals with these skills. This course covers modeling technologies such as data tagging of detected objects, data processing, deep learning model construction, evaluation, and web application production. This course teaches you how to build a project in the Python programming language, tag images for object recognition, develop an object recognition model, perform model evaluation, use Pytesseract for OCR, and work with the Flask API. learn.

In the course Automatic License Plate Recognition, OCR Web App in Python you will learn:

  • Distinguish between base and object
  • Car License Plate Number Identification
  • Extract text from image using: Tesseract
  • learn InceptionResnet V2 on Flow Tensor 2 for detecting objects
  • Flask-based web API

Course specifications

Publisher: Udemy
teacher: Data Science Anywhere and Srikanth Gukshura
Language:English
Level: Beginner~Advanced
Number of courses: 41
Duration: 3 hours 8 minutes

Course Topics:

Automatic license plate recognition, OCR web app for Python content

Automatic License Plate Recognition OCR Web App in Python Prerequisites:

Basic knowledge of Python
Knowledge of deep learning using TensorFlow
HTML Basics

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Automatic license plate recognition, OCR web app in Python

Video introduction to automatic license plate recognition OCR web app in Python:

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English subtitles

Quality: 720p

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Download Part 1 – 1GB

Download Part 2 – 1GB

Download Part 3 – 9.35MB

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