A Unified Toolkit for Deep Learning Based Document Image Analysis
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Aug 15, 2024 - Python
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A Unified Toolkit for Deep Learning Based Document Image Analysis
ocr computer-vision deep-learning object-detection document-image-processing layout-analysis document-layout-analysis detectron2 layout-parser layout-detection
A Repo For Document AI
python nlp ocr tensorflow pytorch document-parser document-layout-analysis table-recognition table-detection document-understanding publaynet layoutlm document-ai document-image-analysis pubtabnet
基于PaddleOCR重构,并且脱离PaddlePaddle深度学习训练框架的轻量级OCR,推理速度超快 —— A lightweight OCR system based on PaddleOCR, decoupled from the PaddlePaddle deep learning training framework, with ultra-fast inference speed.
ocr license-plate-recognition document-layout-analysis onnxruntime onnx-models onnxocr tablerecognition general-ocr structured-ocr
A curated list of resources for Document Understanding (DU) topic
nlp pdf machine-learning natural-language-processing awesome ocr deep-learning information-extraction awesome-list pdf-documents document-analysis rpa unstructured-data robotic-process-automation document-layout-analysis document-understanding key-information-extraction document-ai document-intelligence intelligent-processing
📚 Process PDFs, Word documents and more with spaCy
nlp pdf natural-language-processing pdf-converter spacy docx document-layout document-layout-analysis rag generative-ai
Document Layout Analysis resources repos for development with PdfPig.
pdf csharp hocr tei hocr-documents alto-xml table-extraction page-xml alto layout-analysis document-layout-analysis xycut docstrum pdfpig xy-cut recursive-xy-cut page-segmentation
Document Layout Analysis
Page to PAGE Layout Analysis Tool
deep-neural-networks computer-vision pytorch generative-adversarial-network gan image-segmentation pix2pix handwritten-text-recognition page-xml document-layout-analysis
Detectron2 for Document Layout Analysis
python computer-vision deep-learning pytorch neural-networks segmentation object-detection text-detection semantic-segmentation document-image-processing document-layout maskrcnn mask-rcnn dla document-layout-analysis detectron2 publaynet document-image-analysis
ICDAR 2019: MaskRCNN on PubLayNet datasets. Paragraph detection, table detection, figure detection,...
pytorch object-detection pretrained-models mask-rcnn document-layout-analysis table-detection figure-detection publaynet paragraph-detection
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
python docker ocr pytorch omr optical-character-recognition optical-mark-recognition icr document-parser document-layout-analysis table-recognition table-detection publaynet intelligent-character-recognition intelligent-word-recognition iwr pubtabnet
A Bottom-Up Instance Segmentation Strategy for segmenting document instances using Transformers
deep-neural-networks transformers segmentation image-segmentation instance-segmentation document-layout-analysis
Trained Detectron2 object detection models for document layout analysis based on PubLayNet dataset
python machine-learning computer-vision deep-learning neural-network python3 pytorch artificial-intelligence neural-networks faster-rcnn document-classification object-detection document-analysis document-layout instance-segmentation layout-analysis document-layout-analysis detectron2 publaynet
Tools for extract figure, table, text, .. from a pdf document.
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.
classifier pdf machine-learning csharp lightgbm pdf-document document-layout layout-analysis pdf-document-processor document-layout-analysis ml-net pdfpig publaynet
Trained Detectron2 object detection models for document layout analysis based on PubLayNet dataset
python machine-learning computer-vision deep-learning neural-network python3 pytorch artificial-intelligence neural-networks faster-rcnn document-classification object-detection document-analysis document-layout instance-segmentation layout-analysis document-layout-analysis detectron2 publaynet
BoundaryNet - A Semi-Automatic Layout Annotation Tool
deep-learning annotation interactive pytorch document-layout-analysis graph-neural-networks icdar2021 document-intelligence
Simple docker deployment of document layout analysis using detectron2
Using a MaskRCNN model trained on the PublayNet dataset with ML.Net in C# / .Net for Document layout analysis and page segmmentation task.
ocr csharp dotnet pretrained-models mask-rcnn onnx document-layout-analysis mlnet table-detection figure-detection page-segmentation publaynet mask-detection paragraph-detection
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