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content(cms): create Resource "automatic-text-recognition-atr-video-5-text-recognition-and-post-atr-correction/index" #1019

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---
title: "Automatic Text Recognition (ATR) - Step 5: Text Recognition and Post-ATR
Correction"
lang: en
date: 2024-05-10T13:03:58.244Z
version: 1.0.0
authors:
- chiffoleau-floriane
- ondraszek-sarah
editors:
- baillot-anne
- könig-mareike
tags:
- editing-tools
- machine-learning
- automatic-text-recognition
featuredImage: ""
abstract: "Explore the core concepts of text recognition and model training in
our fifth tutorial on Automatic Text Recognition. "
domain: Social Sciences and Humanities
targetGroup: Domain researchers
type: training-module
remote:
date: 2024-05-09T08:00:00.000Z
url: https://harmoniseatr.hypotheses.org/226
publisher: Deutsches Historisches Institut Paris
licence: ccby-4.0
toc: false
draft: false
uuid: UnTZVwhbc1jkd424wXnxX
categories:
- dariah
---
This session breaks down the essentials of creating accurate models for Automatic Text Recognition (ATR), including understanding ground truth data. Perfect for enhancing your ATR skills, the tutorial equips you with the knowledge to improve text extraction from heritage materials.

## Learning Outcomes

After completing this resource, learners will be able to:

- Build and train models to recognise and interpret text within images.
- Apply concepts of machine learning specific to ATR to improve recognition accuracy.
- Create ground truth data for training and validating ATR models.
- Evaluate the effectiveness of different ATR models based on their output quality.

You can read the blogpost (available in English, French, and German), and watch our video (with subtitles in English, French, and German) embedded in the post.

<ExternalResource title="Interested in learning more?" subtitle="Check out &quot;Automatic Text Recognition - Step 5: Text Recognition and Post-ATR Correction" url="https://harmoniseatr.hypotheses.org/226" />