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                <datestamp>2021-01-17T06:13:24Z</datestamp>
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    <dc:creator>Ma, Wentao</dc:creator>
    <dc:title>POLAR: Posture-level Action Recognition Dataset</dc:title>
    <dc:publisher>Mendeley Data</dc:publisher>
    <dc:description>The &quot;POsture-Level Action Recognition&quot; (POLAR) dataset has nine 9 categories (&quot;bending&quot;, &quot;jumping&quot;, &quot;lying&quot;, &quot;running&quot;, &quot;sitting&quot;, &quot;squatting&quot;, &quot;standing&quot;, &quot;stretching&quot; and &quot;walking&quot;) directly related to human pose with a total of 35,324 images and covers 99% of posture-level human actions in daily life according to authors&apos; analysis on the VOC dataset.</dc:description>
    <dc:subject>Image Classification</dc:subject>
    <dc:subject>Action Recognition</dc:subject>
    <dc:contributor>Liang, Shuang</dc:contributor>
    <dc:type>Dataset</dc:type>
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    <dc:identifier>oai:data.mendeley.com/hvnsh7rwz7.1</dc:identifier>
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