A deep learning generative model approach for image synthesis of plant leaves
Fig 10
Quantification of anomaly via ROC curve and AUC index.
A point on the ROC curve represents—for a certain threshold on the anomaly score—the FPR vs the TPR as defined in (6). We found AUC = 0.25, which means that a synthetic image is classified as synthetic in the 25% of cases and in the 75% is considered real. The dotted line represents the result one would obtain by tossing a coin to decide whether an image is artificial or real.