TongueAtlas-4K: A Large-Scale Tongue Imaging Benchmark for AI Diagnosis

Description TongueAtlas-4K is a large-scale dataset consisting of 4,000 tongue images collected from clinical patients, annotated by certified Traditional Chinese Medicine (TCM) experts. This dataset is designed to support research in AI-assisted tongue diagnosis, including tasks such as image classification, syndrome recognition. This dataset is associated with the paper "MIRNet: Integrating Constrained Graph-Based Reasoning with Pre-training for Diagnostic Medical Imaging" (AAAI 2026, to appear). If you use this dataset, please cite the paper. Dataset Contents- `images.zip`: Contains 4,000 raw tongue image files in JPG format.- `labels.xlsx`: Contains image filenames and their corresponding labels for 22 tongue appearance categories.数据集描述 舌象图谱-4K（TongueAtlas-4K）是一个大规模数据集，包含从临床患者中采集的4000张舌部图像，所有图像均由认证的中医（Traditional Chinese Medicine, TCM）专家标注。 本数据集旨在支撑AI辅助舌诊相关研究，涵盖图像分类、证型识别等任务。 本数据集关联论文《MIRNet：将约束图推理与预训练相结合用于诊断医学影像》（AAAI 2026，待刊）。若使用本数据集，请引用该论文。 数据集内容 - `images.zip`：包含4000份原始JPG格式舌部图像文件。 - `labels.xlsx`：包含图像文件名及其对应的22种舌象外观类别的标签。