metadata
license: mit
metrics:
- mean_iou
datasets:
- Riksarkivet/placeholder_region_segmentation
tags:
- mmdet
- htrflow_core
- instance segmentation
library_name: htrflow_core
library_version: 0.0.1
inference: false
pipeline_tag: image-segmentation
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: