DiceShaker Dataset

v1

640_augmented

Generated on Sep 1, 2021

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Dataset Split

Train Set 88%
2619Images
Valid Set 8%
249Images
Test Set 4%
125Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 852x640

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 7% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 25% of images
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Blur: Up to 0.5px

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