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    <identifier>10.57760/sciencedb.11000</identifier>
    <datestamp>2026-06-25T11:05:54Z</datestamp>
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  <dc:date>2026-06-25</dc:date>
  <dc:title>Tongue Image Dataset</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.11000</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>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 multi-label tongue image dataset.&amp;nbsp;The use of this dataset can facilitate multidimensional diagnosis of physique, thereby promoting standardization of TCM diagnostic methods.</dc:description>
  <dc:subject>Traditional Chinese Medicine; Tongue Image; Multi-Label Classification</dc:subject>
  <dc:creator>Huilin Liu</dc:creator>
  <dc:creator>Fufeng Li</dc:creator>
  <dc:creator>Jin Ye</dc:creator>
  <dc:creator>Lijuan Wang</dc:creator>
  <dc:creator>Peng Qian</dc:creator>
  <dc:creator>Zhumei Sun</dc:creator>
  <dc:creator>Ji Han</dc:creator>
  <dc:creator>Hongkai Zhang</dc:creator>
  <dc:creator>Rongrong Zhu</dc:creator>
  <dc:creator>Yuanhao Li</dc:creator>
  <dc:rights>PUBLIC</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by-nc-nd/4.0/</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:publisher>Science Data Bank</dc:publisher>
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