YOLOv5-PD: A Model for Common Asphalt Pavement Defects Detection

<table class="table-group" id="tab4"><tr><td><table class="table"><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr class="thead"><td class="align_left"></td><td class="align_center">mAP %</td><td class="align_center">FPS</td></tr><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr><td class="align_left">YOLOv5-PD</td><td class="align_center">73.3</td><td class="align_center">41</td></tr><tr><td class="align_left">Faster-RCNN</td><td class="align_center">60.1</td><td class="align_center">26</td></tr><tr><td class="align_left">YOLOX</td><td class="align_center">58.0</td><td class="align_center">13</td></tr><tr class="table-tr"><td colspan="3"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Experiment results between YOLOv5-PD and advanced model.</div>

Journal of Sensors

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Table 4

Table 4: YOLOv5-PD: A Model for Common Asphalt Pavement Defects Detection 