AI-Assisted Object Detection and Information Extraction from Statistical Reports for Enhanced Digital Services
Jin-Seop Shin, Seongchan Kim, Kyung-Min Kim, Mun Yong Yi · 2024
Statistical reports are indispensable sources of information containing crucial data presented through various document objects such as text, tables, figures, and equations. Extracting these objects accurately from PDFs is essential for digital services like Q&A chatbots, which rely on precise statistical information. This study proposes a methodological approach involving three main steps: converting PDFs to images, employing an object detection model trained on annotated document objects, and subsequently extracting pertinent information. The process leverages AI-assisted annotation systems for initial extraction, followed by manual adjustments to ensure accuracy.