QuickCapture Mobile Scanning SDK Specially designed for native ANDROID from Extrieve
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Updated
Mar 13, 2024 - Kotlin
QuickCapture Mobile Scanning SDK Specially designed for native ANDROID from Extrieve
A hands-on CLI tool sample showcasing the integration of Dart with Google Cloud's DocumentAI.
Official release of RFUND introduced in the paper "PEneo: Unifying Line Extraction, Line Grouping, and Entity Linking for End-to-end Document Pair Extraction" (arXiv:2401.03472).
This small module connects Label Studio with Fonduer by creating a fonduer labeling function for gold labels from a label studio export. Documentation: https://irgroup.github.io/labelstudio-to-fonduer/
This project tackles a real-world challenge of automating client document processing, with a focus on enhancing document classification, error detection, data extraction, and validation.
Datasets and Evaluation Scripts for CompHRDoc
QuickCapture Mobile Scanning SDK Specially designed for native IOS
(WIP) ✨ A comprehensive resource for understanding the world of software used in the Document Understanding field. 🧙✨
Run optical character recognition with PyTesseract from the FiftyOne App!
Implementation of the paper: Going Full-TILT Boogie on Document Understanding with Text-Image-Layout Transformer.
TAT-DQA: Towards Complex Document Understanding By Discrete Reasoning
ReadingBank: A Benchmark Dataset for Reading Order Detection
Algorithms, papers, datasets, performance comparisons for Document AI. Continuously updating.
Checkbox Detection Model for Scanned Documents
A Curated List of Awesome Table Structure Recognition (TSR) Research. Including models, papers, datasets and codes. Continuously updating.
Object Detection Model for Scanned Documents
Minimal sharded dataset loaders, decoders, and utils for multi-modal document, image, and text datasets.
Doc2Graph transforms documents into graphs and exploit a GNN to solve several tasks.
Official PyTorch implementation of LiLT: A Simple yet Effective Language-Independent Layout Transformer for Structured Document Understanding (ACL 2022)
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