Fig. 6From: Detection and analysis of wheat spikes using Convolutional Neural NetworksAn example of a generated output image (b) from a test image (a). Detected spikes are indicated using bounding boxes along with their respective classification confidences. Among 82, 78 spikes were detected with a mAP of 0.7211 and an accuracy of 95.18%Back to article page