A Large-Scale Dataset and Deep Learning Model for Detecting and Counting Olive Trees in Satellite Imagery

<table class="table-group" id="tab1"><tr><td><table class="table"><tr><td class="thead-hr" colspan="6"><hr/></td></tr><tr class="thead"><td class="align_left">No. of images</td><td class="align_center">Total trees</td><td class="align_center">Detected trees</td><td class="align_center">EE (%)</td><td class="align_center">CER</td><td class="align_center">OER</td></tr><tr><td class="thead-hr" colspan="6"><hr/></td></tr><tr><td class="align_left">230</td><td class="align_center">73286</td><td class="align_center">72598</td><td class="align_center">0.94</td><td class="align_center">709 (0.97%)</td><td class="align_center">912 (1.2%)</td></tr><tr class="table-tr"><td colspan="6"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Overall evaluation of the proposed model.</div>

Computational Intelligence and Neuroscience

tab1

Table 1

Table 1: A Large-Scale Dataset and Deep Learning Model for Detecting and Counting Olive Trees in Satellite Imagery 