CVidalG/workshop-TUMO2025
Learning lab about Damaged Document Analysis and Historical Document Enhancement
A workshop repository for teaching AI techniques in historical document enhancement, focusing on Armenian newspapers from the National Library of Armenia. It provides a Streamlit web application for document quality assessment, image enhancement, and classification using YOLO, OCR, and OpenAI's API.
An AI-powered system for analyzing scanned Armenian newspapers using computer vision (YOLO for section detection, Ope...
A specialized web application for scholarly review of Armenian historical documents, providing side-by-side compariso...
A specialized, auditable pipeline for creating research editions of Classical Armenian historical texts from page ima...
A Python toolkit for performing OCR on Armenian historical documents. It uses pytesseract with multiple preprocessing...
A specialized OCR tool for digitizing historical Armenian newspapers from the Haratch archive. It automates downloadi...
A metadata scraper for the Project SAVE Armenian Photograph Archives online catalog. It extracts publicly accessible ...