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

<table class="table-group" id="tab3"><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">YOLOv5n</td><td class="align_center">68.0</td><td class="align_center">200</td></tr><tr><td class="align_left">YOLOv5s</td><td class="align_center">67.8</td><td class="align_center">192</td></tr><tr><td class="align_left">YOLOv5m</td><td class="align_center">66.8</td><td class="align_center">133</td></tr><tr><td class="align_left">YOLOv5l</td><td class="align_center">68.5</td><td class="align_center">116</td></tr><tr><td class="align_left">YOLOv5x</td><td class="align_center">64.3</td><td class="align_center">74</td></tr><tr class="table-tr"><td colspan="3"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Experiment results with YOLOv5 versions.</div>

Journal of Sensors

tab3

Table 3

Table 3: YOLOv5-PD: A Model for Common Asphalt Pavement Defects Detection 