Fig. 3
From: Flowers, leaves or both? How to obtain suitable images for automated plant identification
Overview of the approach illustrating the individually trained CNNs and the score fusion of predictions for two perspectives. Each CNN is trained on the subset of images for one perspective, its topology is comprised of 235 convolutional layers followed by two fully connected layers. For each test image the classifier contributes a confidence score for all species. The overall score per species is calculated as the arithmetic mean of the scores for this species across all considered perspectives