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

<table class="figure-group"><tr class="fig-image" id="a"><td><object data="https://static-preview.hindawi.com/articles/js/volume-2022/7530361/figures/7530361.fig.0010a.svgz" name="7530361.fig.0010a" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(a) </b>Qty of category frames</td></tr><tr class="fig-image" id="b"><td><object data="https://static-preview.hindawi.com/articles/js/volume-2022/7530361/figures/7530361.fig.0010b.svgz" name="7530361.fig.0010b" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(b) </b>Distribution of target frame location</td></tr><tr class="fig-image" id="c"><td><object data="https://static-preview.hindawi.com/articles/js/volume-2022/7530361/figures/7530361.fig.0010c.svgz" name="7530361.fig.0010c" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(c) </b>Distribution of target frame size</td></tr></table>

Journal of Sensors

fig10

Figure 10

Figure 10: YOLOv5-PD: A Model for Common Asphalt Pavement Defects Detection 