ocr-layout-newspaper-yolov8

Project information

This project focuses on developing a prototype application for extracting headlines and content from digitized newspaper images stored in the SIDAK (Sistem Informasi Database Koleksi) system of the Monumen Pers Nasional, utilizing computer vision and deep learning techniques.

The prototype aims to overcome the limitations of standard OCR tools by integrating YOLOv8 object detection to precisely identify and separate newspaper headlines and article content before text extraction.

machine lear... yolov8 object detec... ocr

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Created on

July 15, 2025

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