Dataset Versions
v2
2023-06-08 11:48am
Generated on Jun 8, 2023
920 Total Images
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Dataset Split
Train Set 100%
918Images
Valid Set 0%
1Images
Test Set 0%
1Images
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, 10% Maximum Zoom
Rotation: Between -10° and +10°
Shear: ±10° Horizontal, ±10° Vertical
Hue: Between -31° and +31°
Saturation: Between -35% and +35%
Brightness: Between -21% and +21%
Exposure: Between -11% and +11%
Blur: Up to 0.5px
Noise: Up to 1% of pixels