Models for Handwritten Text Recognition
Collection
This collection contains models that we created at the National Archives for HTR
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6 items
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Updated
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RTMDet is both an instance segmentation and object detection model from OpenMMLab and was trained using MMDetection. This RTMDet model is fine-tuned to segment text regions within the documents, which enables a pre-localization text-line regions, which is a crucial step for current text-recognition models work at the text-line level.
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If you would like to learn more about the Swedish National Archives HTR pipeline or access the training data, please refer to the following resources: