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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