Table 9 Total products considered (Total), accepted products (Accept), rejected products (Reject), test duration in minutes (M), true positives (TP), true negatives (TN), false positives of the CNN model (FP), false negatives of the CNN model (FN), false omission rate (FOR) and false discovery rate (FDR) obtained with the pre-trained DenseNet161 in the real scenario considering two production situations: one without problems, and another one with problems. Percentages have been computed from total production.

From: Deep learning for the quality control of thermoforming food packages