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Date Model Task Augmentation Image Size Iuput Size Validation LB
April-27-16:28:23 EfficientNet-B0 Regression HorizontalFlip,VerticalFlip 384 * 384 16 0.7287 0.64
April-27-23:24:32 EfficientNet-B1 Regression HorizontalFlip,VerticalFlip 384 * 384 16 0.7588 0.62
April-28-09:31:49 EfficientNet-B2 Regression HorizontalFlip,VerticalFlip 384 * 384 16 0.7486 0.65
April-28-12:52:12 EfficientNet-B3 Regression HorizontalFlip,VerticalFlip 384 * 384 16 0.7571 0.64
April-28-16:45:22 EfficientNet-B4 Regression HorizontalFlip,VerticalFlip 384 * 384 16 0.7468 0.63
April-28-16:45:22 EfficientNet-B5 Regression HorizontalFlip,VerticalFlip 384 * 384 16 0.7475 0.63
April-29-10:39:11 EfficientNet-B2 Regression crop_white,
HorizontalFlip,VerticalFlip,
RandomRotate90,
IAAAdditiveGaussianNoise,
GaussNoise,
RandomBrightnessContrast,
ShiftScaleRotate		 512 * 512 16 0.8088 0.70
April-29-10:39:11 EfficientNet-B3 Regression same as above 512 * 512 16 0.7881 0.65
May-01-20:45:45 Se-Resnext50_32x4d Classification same as above tile size: 128, num tiles: 12 24 0.8209 0.76
May-03-14:39:48 Se-Resnext50_32x4d Classification RandomRotate90
Flip
Transpose
IAAAdditiveGaussianNoise
GaussNoise
MotionBlur
MedianBlur
Blur
ShiftScaleRotate
HueSaturationValue		 tile size: 128, num tiles: 12 24 0.8070,0.7898,0.8294,0.8203,0.8051 0.77
May-03-15:16:00 Se-Resnext101_32x4d Classification same as above tile size: 128, num tiles: 12 24 0.8030,0.7784,0.8197,0.8072,0.8021 0.76
May-03-15:16:00 Se-Resnext50_32x4d Regression same as above tile size: 128, num tiles: 12 24 0.8097,0.7955,0.8214,0.8179,0.7873 0.79
May-04-15:00:00 Se-Resnext50_32x4d Regression enhance_image
crop_white
same as above		 tile size: 128, num tiles: 12 24 0.8087,0.7937,0.8145,0.8245,0.7902 0.80
May-04-15:00:00 Se-Resnext50_32x4d Regression enhance_image
crop_white
same as above		 tile size: 128, num tiles: 16 16 0.7992,0.7870,0.8156,0.8140,0.7909 0.79
May-04-15:00:00 Se-Resnext50_32x4d Regression + Classification(data_provider) enhance_image
crop_white
same as above		 tile size: 128, num tiles: 16 16 0.7725,0.7813,0.7874,0.7932,0.7684 0.79

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