Project for Deep Learning and its application
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Updated
May 28, 2021 - Jupyter Notebook
Project for Deep Learning and its application
Get the number of columns for a document image
This repo contains our (Team: Krusty Krab) codes for DLS2 Document-Layout-Analysis. The repository is structured into three folders
Awesome historical newspaper analysis tools and literature
An end to end deep learning approach to extract information from shipping records
Customized LangChain Azure Document Intelligence loader for table extraction and summarization
document layout analysis results
Document Layout Analysis ( DLA ) using Paddle OCR
GloSAT Historical Measurement Table Dataset
Learning to Sort Handwritten Text Lines in Reading Order through Estimated Binary Order Relations
Proof of concept of a simple SVM Region Classifier using PdfPig and Accord.Net. The objective is to classify each text block in a pdf document page as either title, text, list, table and image.
Trained Detectron2 object detection models for document layout analysis based on PubLayNet dataset
Vision Based Document Layout Detection, Segmentation and context classification using MaskRCNN on Tensorflow-Keras, PyTorch & Detectron2.
Generic framework for historical document processing
Integrate AI-powered Document Analysis Pipelines
Using a MaskRCNN model trained on the PublayNet dataset with ML.Net in C# / .Net for Document layout analysis and page segmmentation task.
BoundaryNet - A Semi-Automatic Layout Annotation Tool
Proof of concept of training a simple Region Classifier using PdfPig and ML.NET (LightGBM). The objective is to classify each text block in a pdf document page as either title, text, list, table and image.
Trained Detectron2 object detection models for document layout analysis based on PubLayNet dataset
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