Dataset Versions
v3
2023-02-15 8:00pm
Generated on Feb 15, 2023
268 Total Images
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Dataset Split
Train Set 99%
264Images
Valid Set 0%
1Images
Test Set 1%
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, 10% Maximum Zoom
Rotation: Between -14° and +14°
Shear: ±15° Horizontal, ±15° Vertical
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Blur: Up to 1px
Noise: Up to 2% of pixels