Tongue Image Dataset with Inquiry Data

Here, we present a publicly available dataset containing 1194 tongue images captured under controlled conditions; the corresponding annotations (i.e., tongue color, tongue shape, cracked tongue, tooth-marked tongue, color of tongue coating, and thickness of tongue coating) assigned by three specialist TCM practitioners; and inquiry data collected from a clinical questionnaire. To ensure the reliability of these annotations of tongue characteristics, an annotation consistency evaluation was conducted. Additionally, we designed and utilized deep learning models with corresponding single-label and multi-head classifiers to perform baseline validation on this dataset, highlighting the challenges and potential for future research. To the best of our knowledge, this is the first TCM dataset containing tongue images as well as clinical inquiry data. The use of this dataset can facilitate multidimensional diagnosis of physique, thereby promoting standardization of TCM diagnostic methods.

本研究公开了一套受控采集环境下的公开可用舌象图像数据集，共包含1194张舌部图像；该数据集配套的标注由三名中医（Traditional Chinese Medicine, TCM）专科医师完成，标注内容涵盖舌色、舌形、裂纹舌、齿痕舌、舌苔颜色以及舌苔厚度，同时附带临床调查问卷采集的问诊数据。为保障上述舌象特征标注的可靠性，本研究开展了标注一致性评估。此外，本研究设计并使用了搭载单标签与多头部分类器的深度学习模型，对该数据集进行基准验证，以凸显该数据集面临的研究挑战与未来发展潜力。据我们所知，这是首个同时包含舌象图像与临床问诊数据的中医数据集。该数据集的应用可助力体质多维度诊断，进而推动中医诊断方法的标准化进程。

搜集汇总

背景与挑战

背景概述

该数据集是一个公开的中医舌象数据集，包含1194张受控条件下拍摄的舌象图像，由三位专家标注了舌色、舌形等六项特征，并附有临床问诊数据，确保了标注的可靠性。作为首个结合舌象图像和临床问诊数据的中医数据集，它已用于深度学习基线验证，旨在推动中医诊断的标准化和多维研究。