Dataset Versions
v2
2024-08-26 4:52am
Generated on Aug 26, 2024
309 Total Images
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Dataset Split
Train Set 90%
279Images
Valid Set 6%
20Images
Test Set 3%
10Images
Preprocessing
Auto-Orient: Applied
Static Crop: 1-99% Horizontal Region, 1-99% 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, 1% Maximum Zoom
Rotation: Between -1° and +1°
Shear: ±1° Horizontal, ±1° Vertical
Hue: Between -1° and +1°
Saturation: Between -10% and +10%
Brightness: Between -5% and +5%
Exposure: Between -1% and +1%
Blur: Up to 0.1px
Noise: Up to 0.02% of pixels