Dataset Versions

v21

Dataset 2

Generated on Nov 19, 2024

Dataset Split

Train Set 89%
2056Images
Valid Set 6%
129Images
Test Set 5%
127Images

Preprocessing

Auto-Orient: Applied
Auto-Adjust Contrast: Using Contrast Stretching

Augmentations

Outputs per training example: 2
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -45° and +45°
Shear: ±15° Horizontal, ±15° Vertical
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Blur: Up to 0.5px
Noise: Up to 1.4% of pixels

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