What you'll get

  • Govt. Verified Certification
  • Job Credibility
  • Certification Valid for Life
  • Lifetime Access To E-learning
  • On-demand video
  • Flexible Learning
  • Certificate of Completion

Exam details

  • Mode of Exam : Online
  • Duration : 1 Hour
  • Multiple Choice Questions are asked
  • No. of Questions are asked : 50
  • Passing Marks : 25 (50%)
  • There is no negative marking

Course Content

Total: 42 lectures
  • Introduction to OCR Concepts and Libraries
  • Introduction to OCR Concepts and Libraries
  • Setting Up environment - Anaconda
  • Python Basics - Part 1 - Assignment
  • Python Basics - Part 2 - Flow Control
  • Python Basics - Part 3 - Data Structures
  • Python Basics - Part 3 - Functions
  • Tesseract OCR Setup - Part 1
  • Tesseract OCR Setup - Part 2
  • OpenCV Setup
  • Tesseract Image OCR Implementation - Part 1
  • Tesseract Image OCR Implementation - Part 2
  • Optional: cv2.imshow() Not Responding Issue Fix
  • Installing Additional Dependencies for CNN
  • Introduction to VGGNet Architecture
  • Image Recognition Using Pre-Trained VGGNet16 Model - Part 1
  • Image Recognition Using Pre-Trained VGGNet16 Model - Part 2
  • Image Recognition Using Pre-Trained VGGNet19 Model
  • Image Recognition Using Pre-Trained ResNet Model
  • Image Recognition Using Pre-Trained Inception Model
  • Image Recognition Using Pre-Trained Xception Model
  • Introduction to MobileNet-SSD Pre-Trained Model
  • Mobilenet SSD Object Detection - Part 1
  • Mobilenet SSD Object Detection - Part 2
  • Mobilenet SSD Pre-Saved Video
  • Mask RCNN Pre-Trained Model Introduction
  • MaskRCNN Bounding Box Implementation - Part 1
  • MaskRCNN Bounding Box Implementation - Part 2
  • MaskRCNN Object Mask Implementation - Part 1
  • MaskRCNN Object Mask Implementation - Part 2
  • MaskRCNN Real-Time Video - Part 1
  • MaskRCNN Real-Time Video - Part 2
  • MaskRCNN Pre-saved Video
  • YOLO Pre-Trained Model Introduction
  • YOLO Implementation - Part 1
  • YOLO Implementation - Part 2
  • YOLO Real-Time Video
  • YOLO Pre-Saved Video
  • Tiny YOLO Pre-Saved Video
  • Tiny YOLO Real-Time Video
  • YOLOv4 - Step 1 - Updating OpenCV Version
  • YOLOv4 - Step 2 - Object Recognition Implementation

Description

Python OCR and Object Detection is an online course for 6 months. Which provides extensive information about python OCR and object detection skill sets. This Python object detection and OCR course allow students to explore the concepts of image recognition and other similar concepts by using various techniques. That will help them identify and classify single or multiple objects inside a Single Image with a complete accuracy score. If you know about OCR, you can convert text into images to machine learning readable format, such as a document format.

What will you learn in this python OCR and Object detection course?

  • The first module will help you to understand the concepts of Python OCR and its components.
  • Then you will learn about the basics of Anaconda python basics. 
  • The sessions also contain information about python programming basics. So if you do not have any prior experience, this course also matches you.
  • You will understand how you can install OpenCV. This is an open-source CVL in python.
  • We will also tell installing and using Pillow library and other essential topics, including conventional neural networks.
  • This is a powerful and comprehensive course that helps you get sound expertise in Python OCR and Object Detection.


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