Research on Pedestrian Detection Algorithm Based on MobileNet-YoLo

<table class="table-group" id="tab9"><tr><td><table class="table"><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr class="thead"><td class="align_left">Models</td><td class="align_center">mAP (%)</td></tr><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr><td class="align_left">MobileNetv3-YoLov3</td><td class="align_center">75.04</td></tr><tr><td class="align_left">MobileNetv3-YoLov4</td><td class="align_center">73.56</td></tr><tr><td class="align_left">YoLov4-tiny</td><td class="align_center">72.81</td></tr><tr><td class="align_left">YoLov5s</td><td class="align_center">75.43</td></tr><tr><td class="align_left">MobileNet-YoLo</td><td class="align_center"><b>76.67</b></td></tr><tr class="table-tr"><td colspan="2"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Experimental comparison between different models.</div>

Computational Intelligence and Neuroscience

tab9

Table 9

Table 9: Research on Pedestrian Detection Algorithm Based on MobileNet-YoLo 