Dataset Versions
v2
2023-01-31 11:28am
Generated on Jan 31, 2023
667 Total Images
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Dataset Split
Train Set 99%
663Images
Valid Set 0%
2Images
Test Set 0%
2Images
Preprocessing
Auto-Orient: Applied
Static Crop: 13-85% Horizontal Region, 14-86% Vertical Region
Resize: Stretch to 2048x2048
Auto-Adjust Contrast: Using Contrast Stretching
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 15% Maximum Zoom
Rotation: Between -17° and +17°
Shear: ±10° Horizontal, ±11° Vertical
Saturation: Between -40% and +40%
Brightness: Between -30% and +30%
Exposure: Between -10% and +10%
Blur: Up to 0.5px
Noise: Up to 1% of pixels