Figure 9From: Unsupervised deep learning techniques for automatic detection of plant diseases: reducing the need of manual labelling of plant imagesROC curves and AUC values for the different neural architectures proposed for anomaly detection. The bold ROC corresponds to the best performing model (Ano-AE), the dashed curve corresponds to random guess. The panel on the left refers to the performance of the models when considering the image reconstruction error as anomaly score, while the panel on the right considers feature reconstruction error as anomaly scoreBack to article page