Meeting Room Whiteboard Content Text Extraction Dataset

With the popularity of smart office solutions, the demand for digitizing information on meeting room whiteboards is increasing. However, current technologies face challenges when processing whiteboard images, especially due to varying writing styles, fonts, and lighting conditions, leading to low accuracy and limited interactivity with existing OCR solutions. This dataset is dedicated to improving the accuracy of whiteboard text recognition, aiding in the automated recording and management of meeting content. Data collection is conducted using professional equipment to capture whiteboard images under different lighting and writing conditions, ensuring diversity and representativeness. Several rounds of rigorous annotation and review, with the involvement of a professional image processing team, ensure data quality and consistency. Data preprocessing employs noise reduction, image enhancement, and other techniques to ensure high-quality input data. The data is stored in JPG format and organized in a clear directory structure.