Build OCR from Scratch Python using YOLO and Tesseract

Description

• Type

  Course

• Methodology

  Online

• Duration

  1 Year

Description

This machine learning project deals with training the YOLO object detection model using the dataset of digital invoices. The model is trained to identify three essential classes from the invoices, Invoice number, Billing Date, and Total amount. After that, you will use Tesseract for performing OCR in python.

Facilities

Location

Start date

Online

Start date

Different dates availableEnrolment now closed

About this course

Who is it intended for?

Software developers who want to learn & get a practical experience in Machine Learning & Big Data

Requirements

Laptop / Desktop + Internet

What marks this course apart?

This project solves a real business problem end-to-end and comes with solution code, explanation videos, cloud lab and tech support.

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Subjects

• Technology
• Software Engineering
• Software Engineering Tools
• Database
• Data analysis

Course programme

• Setting up YOLO V4
• Data labeling with LabelImg
• Understanding YOLO architecture
• Understanding how to use pre-trained models of YOLO
• Configuring YOLO to any project
• Understanding LSTM
• Understanding Object detection
• Training Custom Object Detector with YOLO
• Understanding Text extraction using Tesseract
• Understanding what is OCR
• Using tesseract pre-trained LSTM
• Configuring Tessaract model to our needs
• Fine-tuning Tessaract model
• Understanding Mean Average Precision
• Storing and displaying detected classes in an image

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