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Table 2 Quantitative evaluation results of five CNNs

From: Automatic freezing-tolerant rapeseed material recognition using UAV images and deep learning

Models

Accuracy (%)

Recall (%)

Precision (%)

F-score (%)

AlexNet

92.63

73.40

80.23

76.67

VGGNet16

93.16

73.40

83.13

77.97

GoogLeNet

92.45

67.02

84.00

74.56

ResNet18

92.98

69.15

85.53

76.47

ResNet50

93.33

79.79

79.79

79.79