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Table 4 Comparison results before and after data augmentation of five CNNs

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

Dataset Models Accurac y (%) Recall (%) Precision (%) F-score (%)
Original dataset 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
Augmented dataset AlexNet 92.98 69.15 85.53 76.47
VGGNet16 93.68 76.60 83.72 80.00
GoogLeNet 92.80 71.28 82.72 76.57
ResNet18 93.33 70.21 86.84 77.65
ResNet50 93.68 79.79 81.52 80.65