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    <responseDate>2026-10-13T06:56:12Z</responseDate>
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    <identifier>10.57760/sciencedb.012cx</identifier>
    <datestamp>2026-09-20T10:24:40Z</datestamp>
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  <dc:date>2026-09-20</dc:date>
  <dc:title>Sugarcane internode images and keypoint annotation dataset</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.012cx</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>This dataset contains sugarcane internode images and corresponding LabelMe annotation files, including 1,631 TIFF images and 1,631 JSON annotation files. The image and annotation files have been renamed consistently from img_0001 to img_1631. The annotations include internode, knot, bud shape, relative position between the bud base and leaf scar, and keypoints. The dataset can be used for sugarcane internode phenotyping, object detection, and keypoint detection model training and validation.</dc:description>
  <dc:subject>sugarcane;  internode ; image dataset; keypoint annotation; phenotyping</dc:subject>
  <dc:creator>汪金梅</dc:creator>
  <dc:rights>PUBLIC</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by/4.0/</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:publisher>Science Data Bank</dc:publisher>
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