DeepJiandu dataset for character detection and recognition on Jiandu manuscript

In ancient China, bamboo and wooden slips referred to as "Jiandu" served as primary mediums for documenting historical events prior to the advent of paper. These artifacts are rich in historical data and cultural significance. Accurate identification of characters on Jiandu is essential for deciphering the historical narratives they contain and plays a vital role in processing Jiandu manuscripts. We introduce the DeepJiandu dataset, specifically designed for the detection and recognition of Jiandu characters. Comprising 7,416 images annotated with 99,888 characters across 2,272 categories, this dataset addresses a variety of complex challenges encountered in Jiandu character recognition, including character degradation, diverse layouts, and variable forms and shapes. The authenticity and reliability of the DeepJiandu dataset render it an effective tool for training and evaluating models geared towards Jiandu character recognition.在中国古代，被称为‘简牍（Jiandu）’的竹木制简牍，是纸张出现之前用于记载历史事件的核心载体。这类文物蕴含着丰富的历史资料与文化价值。准确识别简牍上的文字，是解读其所承载的历史叙事的必要前提，同时对简牍文献的整理工作也具有至关重要的作用。本研究推出了专为简牍文字检测与识别打造的DeepJiandu数据集。该数据集包含7416张标注图像，涵盖2272个类别、总计99888个文字标注，能够应对简牍文字识别中遇到的各类复杂挑战，包括文字磨损、版式多样以及字形多变等问题。DeepJiandu数据集的真实性与可靠性，使其成为训练与评估简牍文字识别模型的有效工具。