Table 5 Performance result of ResNet-50 for test dataset (%).

From: Ensemble-based sesame disease detection and classification using deep convolutional neural networks (CNN)

Class

Accuracy

Precision

Recall

F1-Score

Healthy

92.50

93.00

91.00

92.00

Phyllody

90.00

88.00

92.00

90.00

Bacterial blight

92.00

94.00

90.00

92.00

Overall

91.89

91.67

91.00

91.33