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@@ -44,7 +44,7 @@ It is meant to be implemented in an HTR-pipeline where one first segment text-re
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  Segment text-lines within text-regions as part of an HTR-pipeline for handwritten running-text documents
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- ### Downstream Use [optional]
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  As part of an HTR-pipeline for transcribing entire pages of handwritten running-text documents. See [Swedish Lion Libre](https://huggingface.co/Riksarkivet/trocr-base-handwritten-hist-swe-2)
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  for example usage with the [HTRflow package](https://github.com/AI-Riksarkivet/htrflow)
@@ -83,14 +83,14 @@ for example usage with the [HTRflow package](https://github.com/AI-Riksarkivet/h
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  ### Training Data
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- [Trolldomskommissionen](https://huggingface.co/datasets/Riksarkivet/trolldomskommissionen_seg)
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- [Svea Hovrätt](https://huggingface.co/datasets/Riksarkivet/svea_hovratt_seg)
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- [Krigshovrättens domböcker](https://huggingface.co/datasets/Riksarkivet/krigshovrattens_dombocker_seg)
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- [Jönköpings rådhusrätt och magistrat](https://huggingface.co/datasets/Riksarkivet/jonkopings_radhusratts_och_magistrat_seg)
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- [Göta hovrätt](https://huggingface.co/datasets/Riksarkivet/gota_hovratt_seg)
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- [Frihetstidens utskottshandlingar](https://huggingface.co/datasets/Riksarkivet/frihetstidens_utskottshandlingar_seg)
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- [Bergskollegium relationer och skrivelser](https://huggingface.co/datasets/Riksarkivet/bergskollegium_relationer_och_skrivelser_seg)
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- [Bergskollegium advokatfiskalkontoret](https://huggingface.co/datasets/Riksarkivet/bergskollegium_advokatfiskalskontoret_seg)
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  ### Training Procedure
@@ -121,6 +121,6 @@ yolov9
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  [Ultralytics](https://github.com/ultralytics)
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- ## Citation [optional]
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  [YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information](https://arxiv.org/abs/2402.13616)
 
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  Segment text-lines within text-regions as part of an HTR-pipeline for handwritten running-text documents
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+ ### Downstream Use
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  As part of an HTR-pipeline for transcribing entire pages of handwritten running-text documents. See [Swedish Lion Libre](https://huggingface.co/Riksarkivet/trocr-base-handwritten-hist-swe-2)
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  for example usage with the [HTRflow package](https://github.com/AI-Riksarkivet/htrflow)
 
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  ### Training Data
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+ [Trolldomskommissionen](https://huggingface.co/datasets/Riksarkivet/trolldomskommissionen_seg)
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+ [Svea Hovrätt](https://huggingface.co/datasets/Riksarkivet/svea_hovratt_seg)
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+ [Krigshovrättens domböcker](https://huggingface.co/datasets/Riksarkivet/krigshovrattens_dombocker_seg)
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+ [Jönköpings rådhusrätt och magistrat](https://huggingface.co/datasets/Riksarkivet/jonkopings_radhusratts_och_magistrat_seg)
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+ [Göta hovrätt](https://huggingface.co/datasets/Riksarkivet/gota_hovratt_seg)
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+ [Frihetstidens utskottshandlingar](https://huggingface.co/datasets/Riksarkivet/frihetstidens_utskottshandlingar_seg)
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+ [Bergskollegium relationer och skrivelser](https://huggingface.co/datasets/Riksarkivet/bergskollegium_relationer_och_skrivelser_seg)
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+ [Bergskollegium advokatfiskalkontoret](https://huggingface.co/datasets/Riksarkivet/bergskollegium_advokatfiskalskontoret_seg)
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  ### Training Procedure
 
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  [Ultralytics](https://github.com/ultralytics)
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+ ## Citation
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  [YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information](https://arxiv.org/abs/2402.13616)