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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5
Model Description
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.
Usage
#WIP
Evaluation
(WIP)
Training Data
(WIP)
References
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:
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Inference Providers
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