Job Credibility
Certification Valid for Life
Live Classes
Certificate of Completion

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

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.

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

₹3,500 ₹20,000

What you'll get

Exam details

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

Course Content

Reviews

Related Courses

Programming Through Python

Certificate in Python Machine Learning

Certificate in Python

Certificate in Python for Finance

Certificate in AI with Python

For Support

Office Hours

We are on

Company

Customer Service

Help