Detection of Apple Lesions in Orchards Based on Deep Learning Methods of CycleGAN and YOLOV3-Dense

<table class="table-group" id="tab6"><tr><td><table class="table"><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr class="thead"><td class="align_left">Model</td><td class="align_center">Accuracy</td></tr><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr><td class="align_left">AlexNetOWTBn</td><td class="align_center">95.19%</td></tr><tr><td class="align_left">VGG</td><td class="align_center">95.54%</td></tr><tr><td class="align_left">GoogleNet</td><td class="align_center">93.84%</td></tr><tr><td class="align_left">YOLOV3-dense</td><td class="align_center">95.57%</td></tr><tr class="table-tr"><td colspan="2"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Detection accuracy of several models.</div>

Journal of Sensors

tab6

Table 6

Table 6: Detection of Apple Lesions in Orchards Based on Deep Learning Methods of CycleGAN and YOLOV3-Dense 