Using a MaskRCNN model trained on the PublayNet dataset from phamquiluan/PubLayNet with ML.Net in C# / .Net for Document layout analysis and page segmmentation task.
Recognised regions/categories are:
- Text (i.e. paragraph)
- Title
- List
- Table
- Figure
- About the PublayNet dataset: ibm-aur-nlp/PubLayNet
- Original repos for training the model: phamquiluan/PubLayNet
- Original MaskRCNN-Resnet50-FPN checkpoint here
- Jupyter notebook to convert for ONNX model are here
- Compressed ONNX model in PublayNetModelTEst/Assets/Model
See here
