Plant Phenomics / 2019 / Article / Tab 2

Research Article

An Exploration of Deep-Learning Based Phenotypic Analysis to Detect Spike Regions in Field Conditions for UK Bread Wheat

Table 2

Quantitative results of segmentation performance for the 2016 dataset when training FCN from scratch by initialising the weights using He et al.'s method [55] and by loading pretrained ImageNet parameters showing different evaluation metrics.

InitialisationGAMASpike AccuracyMIoUSpike IoU

He et al. [55]92.480.1464.370.048.02

ImageNet Parameters93.5482.1367.5573.053.0