Dataset Versions
v2
2023-05-24 2:49pm
Generated on May 24, 2023
907 Total Images
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Dataset Split
Train Set 99%
900Images
Valid Set 1%
5Images
Test Set 0%
2Images
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 -31° and +31°
Saturation: Between -42% and +42%
Brightness: Between -19% and +19%
Exposure: Between -9% and +9%
Blur: Up to 0.5px
Noise: Up to 1% of pixels