首个标准化舌诊数据集，助力AI辅助中医诊断
TCM-Tongue: A Standardized Tongue Image Dataset with Pathological Annotations for AI-Assisted TCM Diagnosis
- 采集6719张标准舌象图，每图平均标注2.54个病征
- 包含20类病理症状，经中医执业医师验证
- 支持多种格式，适合开发临床级AI诊断工具
中医舌诊虽具临床价值，但因主观判断和成像不统一，且缺乏大规模标注数据，制约了AI发展。为此，我们构建首个面向AI的中医舌诊专用数据集，包含6719张标准化高质量图像，每幅图像平均标注2.54个临床验证过的病征类别（共20类），所有标注均由持证中医师确认。数据集支持COCO、TXT、XML等多种格式，已用九种深度学习模型（YOLOv5/v7/v8系列、SSD、MobileNetV2）进行基准测试，证明其在推动可靠计算工具研发中的价值。该资源填补了数据空白，为中医AI研究与临床应用提供标准化、高质量的数据基础。
原文摘要 · Abstract (English)
Traditional Chinese medicine (TCM) tongue diagnosis, while clinically valuable, faces standardization challenges due to subjective interpretation and inconsistent imaging protocols, compounded by the lack of large-scale, annotated datasets for AI development. To address this gap, we present the first specialized dataset for AI-driven TCM tongue diagnosis, comprising 6,719 high-quality images captured under standardized conditions and annotated with 20 pathological symptom categories (averaging 2.54 clinically validated labels per image, all verified by licensed TCM practitioners). The dataset supports multiple annotation formats (COCO, TXT, XML) for broad usability and has been benchmarked using nine deep learning models (YOLOv5/v7/v8 variants, SSD, and MobileNetV2) to demonstrate its utility for AI development. This resource provides a critical foundation for advancing reliable computational tools in TCM, bridging the data shortage that has hindered progress in the field, and facilitating the integration of AI into both research and clinical practice through standardized, high-quality diagnostic data.
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