Dataset Versions
v1
2023-06-07 11:44am
Generated on Jun 7, 2023
912 Total Images
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Dataset Split
Train Set 99%
906Images
Valid Set 0%
3Images
Test Set 0%
3Images
Preprocessing
Auto-Orient: Applied
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, 11% Maximum Zoom
Rotation: Between -10° and +10°
Shear: ±10° Horizontal, ±10° Vertical
Hue: Between -30° and +30°
Saturation: Between -41% and +41%
Brightness: Between -20% and +20%
Exposure: Between -10% and +10%
Blur: Up to 0.5px
Noise: Up to 1% of pixels