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    <identifier>10.57760/sciencedb.j00240.00091</identifier>
    <datestamp>2026-01-09T14:02:23Z</datestamp>
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  <dc:date>2026-01-09</dc:date>
  <dc:title>Aerial-Ground Mixed-view Person Retrieval dataset</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.j00240.00091</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>We introduce AGMix-PR(Aerial-Ground Mixed-view Person Retrieval dataset), a novel benchmark dataset specifically designed for&amp;nbsp;text-to-image person retrieval&amp;nbsp;in aerial-ground multi-view mixed&amp;nbsp;scenarios. AGMix-PR integrates over 8,000 pedestrian identities captured from both UAV-mounted cameras and fixed ground surveillance systems across diverse urban and suburban environments, resulting in more than 70,000 image-text pairs. The dataset is meticulously curated to reflect real-world challenges, such as significant scale variations, drastic viewpoint changes, and complex occlusion patterns, all&amp;nbsp;of which are rarely present in conventional TIPR datasets.&amp;nbsp;</dc:description>
  <dc:subject>text-image retrieval; text-to-image person retrieval; person re-identification; multi-modal learning; dataset</dc:subject>
  <dc:creator>wu yu</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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