Skip to main content
. 2024 Feb 7;15:1341831. doi: 10.3389/fpls.2024.1341831

Table 3.

Effect of data augmentations of SC-FSL on accuracy of plant disease recognition.

Data Aug Accuracy (%) Data Aug Accuracy (%)
5-way 1-shot 5-way 5-shot 5-way 1-shot 5-way 5-shot
A 64.16 ± 0.86 79.55 ± 0.65 B+C 67.53 ± 0.87 81.28 ± 0.61
B 54.19 ± 0.85 69.07 ± 0.81 B+D 46.89 ± 0.86 62.49 ± 0.77
C 65.43 ± 0.87 82.65 ± 0.60 C+D 56.54 ± 0.92 73.88 ± 0.70
D 45.35 ± 0.86 57.88 ± 0.88 A+B+C 78.55 ± 0.81 92.90 ± 0.47
A+B 62.26 ± 0.87 78.01 ± 0.64 A+B+D 49.47 ± 0.92 61.72 ± 0.79
A+C 75.36 ± 0.80 91.55 ± 0.46 B+C+D 57.11 ± 0.90 74.87 ± 0.75
A+D 48.46 ± 0.89 59.39 ± 0.84 A+B+C+D 77.78 ± 0.81 91.78 ± 0.45

Underline indicates the highest recognition accuracy in a single data augmentation; double underline indicates the highest recognition accuracy in a combination of two kinds of data augmentations; bold indicates the highest recognition accuracy in a combination of three kinds of data augmentations.