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outside8_

Classification

outside8_ Image Dataset

Versions
2022-08-10 12:37pm
v4
Aug 10, 2022
2022-08-05 6:09pm
v3
Aug 5, 2022
2022-08-05 6:09pm
v2
Aug 5, 2022
2022-08-05 6:08pm
v1
Aug 5, 2022
v4

2022-08-10 12:37pm

Generated on Aug 10, 2022
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408 Total Images

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Dataset Split

Train Set 100%
408Images
Valid Set %
0Images
Test Set %
0Images

Preprocessing

Resize: Stretch to 28x28

Augmentations

Outputs per training example: 3
Rotation: Between -14° and +14°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 25% of images
Hue: Between -25° and +25°
Brightness: Between -16% and +16%
Noise: Up to 2% of pixels
Cutout: 2 boxes with 5% size each