From a88f4b1b1e14156d665a99ab89792c17494b4b18 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Mareike=20K=C3=B6nig?= <48827324+Mareike2405@users.noreply.github.com> Date: Tue, 14 May 2024 19:24:16 +0200 Subject: [PATCH] content(cms): update Resource "automatic-text-recognition-atr-video-5-text-recognition-and-post-atr-correction/index" --- .../index.mdx | 25 +++++++++++-------- 1 file changed, 15 insertions(+), 10 deletions(-) diff --git a/content/posts/automatic-text-recognition-atr-video-5-text-recognition-and-post-atr-correction/index.mdx b/content/posts/automatic-text-recognition-atr-video-5-text-recognition-and-post-atr-correction/index.mdx index 5d346f077..f1af08370 100644 --- a/content/posts/automatic-text-recognition-atr-video-5-text-recognition-and-post-atr-correction/index.mdx +++ b/content/posts/automatic-text-recognition-atr-video-5-text-recognition-and-post-atr-correction/index.mdx @@ -1,5 +1,5 @@ --- -title: "Automatic Text Recognition (ATR) - Part 5: Text Recognition and Post-ATR +title: "Automatic Text Recognition (ATR) - Step 5: Text Recognition and Post-ATR Correction" lang: en date: 2024-05-10T13:03:58.244Z @@ -11,19 +11,20 @@ editors: - baillot-anne - könig-mareike tags: - - e-heritage + - editing-tools + - machine-learning featuredImage: "" abstract: Explore the core concepts of text recognition and model training in - our fifth ATR tutorial video. This session breaks down the essentials of - creating accurate models, including understanding ground truth data. Perfect - for enhancing your ATR skills, the video equips you with the knowledge to + our fifth ATR tutorial. This session breaks down the essentials of creating + accurate models, 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. domain: Social Sciences and Humanities targetGroup: Domain researchers -type: video +type: training-module remote: - date: 2024-05-06T08:00:00.000Z - url: https://youtu.be/P5O8bPR9hXg?si=MwmAmdLVdcQlpb5r + date: 2024-05-09T08:00:00.000Z + url: https://harmoniseatr.hypotheses.org/226 publisher: Deutsches Historisches Institut Paris licence: ccby-4.0 toc: false @@ -32,11 +33,15 @@ uuid: UnTZVwhbc1jkd424wXnxX categories: - dariah --- -You can watch our video (subtitles available in English, French, and German) or read the accompanying blogpost (also in all three languages): [https://harmoniseatr.hypotheses.org/226](https://harmoniseatr.hypotheses.org/226). - ## 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. + +