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card2

Classification

card2 Image Dataset

v2

2022-12-01 2:33pm

Generated on Dec 1, 2022

Dataset Split

Train Set 91%
3837Images
Valid Set 6%
242Images
Test Set 4%
151Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 224x224

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 6% Maximum Zoom
Rotation: Between -10° and +10°
Shear: ±14° Horizontal, ±15° Vertical
Saturation: Between -21% and +21%
Brightness: Between -10% and +10%
Exposure: Between -11% and +11%
Noise: Up to 5% of pixels