From 2fc9dfb043eca50c1e7ec0d911a0f64e1ff7bbb4 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Mareike=20K=C3=B6nig?= <48827324+Mareike2405@users.noreply.github.com> Date: Fri, 10 May 2024 13:07:07 +0000 Subject: [PATCH 1/6] content(cms): create Resource "automatic-text-recognition-atr-video-5-text-recognition-and-post-atr-correction/index" --- .../index.mdx | 39 +++++++++++++++++++ 1 file changed, 39 insertions(+) create mode 100644 content/posts/automatic-text-recognition-atr-video-5-text-recognition-and-post-atr-correction/index.mdx 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 new file mode 100644 index 000000000..3d5f3a088 --- /dev/null +++ b/content/posts/automatic-text-recognition-atr-video-5-text-recognition-and-post-atr-correction/index.mdx @@ -0,0 +1,39 @@ +--- +title: "Automatic Text Recognition (ATR) - Video 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: + - e-heritage +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 + improve text extraction from heritage materials. +domain: Social Sciences and Humanities +targetGroup: Domain researchers +type: video +remote: + date: 2024-05-06T08:00:00.000Z + url: https://youtu.be/P5O8bPR9hXg?si=MwmAmdLVdcQlpb5r + publisher: Deutsches Historisches Institut Paris +licence: ccby-4.0 +toc: false +draft: false +uuid: UnTZVwhbc1jkd424wXnxX +categories: + - dariah +--- +## Learning Outcomes + +- 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. 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zHmlHA5sYXK@(%vK#s0jXEo+tg@chO7!;dWiyVT3-hK6%L)XSH5uU>6b37K2o-uI}i z)|=O395n+XPLb-&PU<)Ox7dE!?+f4E^%Y;eQ#VMgR6g7VXkQKHA`Msm$|`PMUjGYq za|t&#gw*I>%=es*O0%Kmd&g7Prr-Sd`t2*v^r``vppBTp$#dU&E$!z^PWnFYl%q|Y z?ZF{3QEz0ZvFb>tA@W|o!q5#p&)-;d>kt12n?yh@;6Cht00000NkvXXu0mjf*5x4v literal 0 HcmV?d00001 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 3d5f3a088..c7954389c 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 @@ -12,6 +12,7 @@ editors: - könig-mareike tags: - e-heritage +featuredImage: images/folie5.png 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 From a8c2be47bdf3116f3801897016d900fbf52896bb 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 10:57:16 +0000 Subject: [PATCH 3/6] content(cms): update Resource "automatic-text-recognition-atr-video-5-text-recognition-and-post-atr-correction/index" --- .../index.mdx | 16 +++++++++------- 1 file changed, 9 insertions(+), 7 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 c7954389c..5d346f077 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 @@ -1,6 +1,6 @@ --- -title: "Automatic Text Recognition (ATR) - Video 5: Text Recognition and - Post-ATR Correction" +title: "Automatic Text Recognition (ATR) - Part 5: Text Recognition and Post-ATR + Correction" lang: en date: 2024-05-10T13:03:58.244Z version: 1.0.0 @@ -12,7 +12,7 @@ editors: - könig-mareike tags: - e-heritage -featuredImage: images/folie5.png +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 @@ -32,9 +32,11 @@ 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 -- 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. +- 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. From 0788a0ac92310979d03f4e331bb66a91f741e86c 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 17:24:16 +0000 Subject: [PATCH 4/6] 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. + + From 81e5d79614c24249dbca0955cc0d6d7400b03816 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Mareike=20K=C3=B6nig?= <48827324+Mareike2405@users.noreply.github.com> Date: Wed, 15 May 2024 11:58:58 +0000 Subject: [PATCH 5/6] content(cms): update Resource "automatic-text-recognition-atr-video-5-text-recognition-and-post-atr-correction/index" --- .../index.mdx | 1 + 1 file changed, 1 insertion(+) 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 f1af08370..7f53c3ed5 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 @@ -13,6 +13,7 @@ editors: tags: - editing-tools - machine-learning + - automatic-text-recognition featuredImage: "" abstract: Explore the core concepts of text recognition and model training in our fifth ATR tutorial. This session breaks down the essentials of creating From b7e1129ca1129dc221e708618afad989986c2e52 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Mareike=20K=C3=B6nig?= <48827324+Mareike2405@users.noreply.github.com> Date: Fri, 28 Jun 2024 18:56:10 +0200 Subject: [PATCH 6/6] content(cms): update Resource "automatic-text-recognition-atr-video-5-text-recognition-and-post-atr-correction/index" --- .../index.mdx | 9 ++++----- 1 file changed, 4 insertions(+), 5 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 7f53c3ed5..70341c4a1 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 @@ -15,11 +15,8 @@ tags: - machine-learning - automatic-text-recognition featuredImage: "" -abstract: Explore the core concepts of text recognition and model training in - 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. +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 @@ -34,6 +31,8 @@ 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:

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