A Unified Toolkit for Deep Learning Based Document Image Analysis
A Repo For Document AI
A curated list of resources for Document Understanding (DU) topic
Document Layout Analysis resources repos for development with PdfPig.
Detectron2 for Document Layout Analysis
📚 Process PDFs, Word documents and more with spaCy
Page to PAGE Layout Analysis Tool
ICDAR 2019: MaskRCNN on PubLayNet datasets. Paragraph detection, table detection, figure detection,...
Document Layout Analysis
Simple docker deployment of document layout analysis using detectron2
Complex data extraction and orchestration framework designed for processing unstructured documents. It integrates AI-powered document pipelines (GenAI, LLM, VLLM) into your applications, supporting various tasks such as document cleanup, optical character recognition (OCR), classification, splitting, named entity recognition, and form processing
A Bottom-Up Instance Segmentation Strategy for segmenting document instances using Transformers
Trained Detectron2 object detection models for document layout analysis based on PubLayNet dataset
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.
Tools for extract figure, table, text, .. from a pdf document.
BoundaryNet - A Semi-Automatic Layout Annotation Tool
Using a MaskRCNN model trained on the PublayNet dataset with ML.Net in C# / .Net for Document layout analysis and page segmmentation task.
Learning to Sort Handwritten Text Lines in Reading Order through Estimated Binary Order Relations
Trained Detectron2 object detection models for document layout analysis based on PubLayNet dataset
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