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  <dc:date>2026-09-10</dc:date>
  <dc:title>Experiment original image and results</dc:title>
  <dc:identifier>doi:10.11922/sciencedb.j00104.00099</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>Using mobile devices to collect vehicle images, a deep learning algorithm with few model parameters and high accuracy is designed to extract information, and finally judge whether the lane line and vehicle are pressed. Therefore, the data set is mainly divided into three parts: vehicle video original image, vehicle video image segmentation, network effect and vehicle detection effect.&amp;nbsp;</dc:description>
  <dc:subject> basic datasets;  object detection; Automatic detection</dc:subject>
  <dc:creator>lijunxian</dc:creator>
  <dc:creator>liying</dc:creator>
  <dc:creator>zhangxuexi</dc:creator>
  <dc:creator>zhanruidian</dc:creator>
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  <dc:publisher>Science Data Bank</dc:publisher>
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