outside4 Dataset
v4
2022-08-10 12:34pm
Generated on Aug 10, 2022
444 Total Images
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Dataset Split
Train Set 100%
444Images
Valid Set %
0Images
Test Set %
0Images
Preprocessing
Resize: Stretch to 28x28
Augmentations
Outputs per training example: 3
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 25% of images
Hue: Between -25° and +25°
Brightness: Between -10% and +10%
Noise: Up to 2% of pixels
Cutout: 2 boxes with 5% size each