Dataset Versions

v1

2024-02-08 11:37am

Generated on Feb 8, 2024

Dataset Split

Train Set 87%
318Images
Valid Set 9%
31Images
Test Set 4%
15Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 720x720
Auto-Adjust Contrast: Using Contrast Stretching

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Hue: Between -15° and +15°
Saturation: Between -30% and +30%
Brightness: Between -18% and +18%
Exposure: Between -15% and +15%
Blur: Up to 0.8px
Noise: Up to 1.05% of pixels

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