Sikhin V C

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Classification

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augmented
v1
Nov 25, 2021
v1

augmented

Generated on Nov 25, 2021
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5904 Total Images

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Dataset Split

Train Set 87%
5163Images
Valid Set 8%
487Images
Test Set 4%
254Images

Preprocessing

Auto-Orient: Applied

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 47% Maximum Zoom
Rotation: Between -10° and +10°
Shear: ±15° Horizontal, ±15° Vertical
Cutout: 3 boxes with 12% size each