GitHub topics: layoutlmv2
nachoDRT/MERIT-Dataset
The MERIT Dataset is a fully synthetic, labeled dataset created for training and benchmarking LLMs on Visually Rich Document Understanding tasks. It is also designed to help detect biases and improve interpretability in LLMs, where we are actively working. This repository is actively maintained, and new features are continuously being added.
Language: Python - Size: 603 MB - Last synced at: 16 days ago - Pushed at: 16 days ago - Stars: 10 - Forks: 1
NavodPeiris/DoClasiq
A document classification and data extraction Web App for company documents. Classification is done using a fine-tuned version of LayoutLMv2ForSequenceClassification from HuggingFace Transformers library. Rule-based structured data extraction is done using predefined configuration for each class of documents.
Language: Jupyter Notebook - Size: 5.02 MB - Last synced at: 19 days ago - Pushed at: 19 days ago - Stars: 0 - Forks: 0
gulabpatel/OCR
Spacy, HAC, pytesseract, easyocr, doctr, mmocr, layoutlm, paddleocr
Language: Jupyter Notebook - Size: 30.3 MB - Last synced at: about 1 month ago - Pushed at: over 1 year ago - Stars: 20 - Forks: 5
