Automatic Number Plate Recognition, OCR Web App in Python, is a training course on model plate number recognition, OCR, and building web projects using deep learning, Flow Tensor 2, and Flask framework. Image processing and object recognition are some 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 tagging of detected objects, data processing, building deep learning models, evaluation, and web application production. In this course, you will learn how to build a project in the Python programming language, tag images for object recognition, develop object recognition models, model evaluation, use Pytesseract for OCR, and work with the Flask API.
What you will learn in the course Automatic Number Plate Recognition, OCR Web App in Python:
- Distinguish objects from the base
- Identify car license plate numbers
- Extract texts from images using Tesseract
- Learn InceptionResnet V2 in Flow Tensor 2 to detect objects
- Flask based web API
Instructors: Data Science Anywhere and Srikanth Gusksra
Level: Introductory to Advanced
Number of Courses: 41
Duration: 3 hours and 8 minutes
Automatic Number Plate Recognition OCR Web App in Python Prerequisites:
Basic knowledge of Python
Knowledge of Deep Learning with TensorFlow
Basics on HTML
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