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Table 3 Comparison results between traditional machine learning and CNNs

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

Type Models Accuracy (%) Recall (%) Precision (%) F-score (%) Testing times (ms)
Traditional machine learning SIFT+SVM 67.72 30.85 19.59 23.97 2.66
SURF+SVM 61.05 36.17 17.35 23.45 0.59
SIFT+ANN 76.32 15.96 21.43 18.2 9 7.84
SURF+ANN 72.98 12.77 18.46 15.09 4.41
CNNs AlexNet 92.63 73.40 80.23 76.67 10.16
VGGNet16 93.16 73.40 83.13 77.97 10.88
GoogLeNet 92.45 67.02 84.00 74.56 22.32
ResNet18 92.98 69.15 85.53 76.47 36.54
ResNet50 93.33 79.79 79.79 79.79 47.25