Dataset Versions
v1
2023-02-24 2:10pm
Generated on Feb 24, 2023
257 Total Images
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Dataset Split
Train Set 99%
255Images
Valid Set 0%
1Images
Test Set 0%
1Images
Preprocessing
Auto-Orient: Applied
Static Crop: 5-90% Horizontal Region, 5-90% Vertical Region
Resize: Stretch to 2048x1750
Auto-Adjust Contrast: Using Histogram Equalization
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 5% Maximum Zoom
Rotation: Between -10° and +10°
Shear: ±5° Horizontal, ±5° Vertical
Hue: Between -24° and +24°
Saturation: Between -29% and +29%
Brightness: Between -18% and +18%
Exposure: Between -15% and +15%
Blur: Up to 0.25px
Noise: Up to 1% of pixels