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Table 8 AutoAugment augmentation policy found on the reduced CIFAR-10 dataset [38]

From: A survey on Image Data Augmentation for Deep Learning

  Operation 1 Operation 2
Sub-policy 0 (Invert,0.1,7) (Contrast,0.2,6)
Sub-policy 1 (Rotate,0.7,2) (TranslateX,0.3,9)
Sub-policy 2 (Sharpness,0.8,1) (Sharpness,0.9,3)
Sub-policy 3 (ShearY,0.5,8) (TranslateY,0.7,9)
Sub-policy 4 (AutoContrast,0.5,8) (Equalize,0.9,2)
Sub-policy 5 (ShearY,0.2,7) (Posterize,0.3,7)
Sub-policy 6 (Color,0.4,3) (Brightness,0.6,7)
Sub-policy 7 (Sharpness,0.3,9) (Brightness,0.7,9)
Sub-policy 8 (Equalize,0.6,5) (Equalize,0.5,1)
Sub-policy 9 (Contrast,0.6,7) (Sharpness,0.6,5)
Sub-policy 10 (Color,0.7,7) (TranslateX,0.5,8)
Sub-policy 11 (Equalize,0.3,7) (AutoContrast,0.4,8)
Sub-policy 12 (TranslateY,0.4,3) (Sharpness,0.2,6)
Sub-policy 13 (Brightness,0.9,6) (Color,0.2,8)
Sub-policy 14 (Solarize,0.5,2) (Invert,0.0,3)
Sub-policy 15 (Equalize,0.2,0) (AutoContrast,0.6,0)
Sub-policy 16 (Equalize,0.2,8) (Equalize,0.6,4)
Sub-policy 17 (Color,0.9,9) (Equalize,0.6,6)
Sub-policy 18 (AutoContrast,0.8,4) (Solarize,0.2,8)
Sub-policy 19 (Brightness,0.1,3) (Color,0.7,0)
Sub-policy 20 (Solarize,0.4,5) (AutoContrast,0.9,3)
Sub-policy 21 (TranslateY,0.9,9) (TranslateY,0.7,9)
Sub-policy 22 (AutoContrast,0.9,2) (Solarize,0.8,3)
Sub-policy 23 (Equalize,0.8,8) (Invert,0.1,3)
Sub-policy 24 (TranslateY,0.7,9) (AutoContrast,0.9,1)