Automatic Number Plate Recognition OCR Web App in Python

Description

Automatic Number Plate Recognition, OCR Web App in Python, is a training course for building a license plate recognition model, OCR and building web projects using deep learning, Tensor Flow 2 framework and Flask. Image processing and object recognition is one of the sub-topics of data science, which includes a wide range of applications in industry in the world. Many companies are looking for data science specialists who have these skills. This course covers modeling technologies including data labeling of detected objects, data processing, building deep learning models, evaluation and web application generation. In this course, you will learn how to create a project in the Python programming language, label images for object recognition, develop object recognition models, evaluate the model, use Pytesseract for OCR, and work with the Flask API.

What you will learn in the Automatic Number Plate Recognition, OCR Web App in Python course:

Recognition of objects from the base
Identification of car license plates
Extracting texts from images using Tesseract
Education InceptionResnet V2 on Tensor Flow 2 for object detection
Web API based on Flask

Course details

Publisher: Udemy
Instructors: Data Science Anywhere And Srikanth Gusksra
English language
Training level: introductory to advanced
Number of courses: 41
Duration: 3 hours and 8 minutes

Course topics:

Prerequisites of the Automatic Number Plate Recognition OCR Web App in Python course:

Basic knowledge on Python
Knowledge on Deep learning with TensorFlow
Basics on HTML

Pictures

Automatic Number Plate Recognition, OCR Web App in Python