Double-Augmentation Dataset

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2023-07-04 3:54pm
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a year ago
2023-07-03 6:05pm
v1
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a year ago
v1

2023-07-03 6:05pm

Generated on Jul 3, 2023
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Dataset Split

Train Set 86%
4521Images
Valid Set 2%
99Images
Test Set 13%
667Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 64x64

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -14° and +14°
Brightness: Between 0% and +15%
Noise: Up to 2% of pixels

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