Dataset Versions
Versions
v1
2023-02-16 3:10pm
Generated on Feb 16, 2023
344 Total Images
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Dataset Split
Train Set 98%
336Images
Valid Set 1%
4Images
Test Set 1%
4Images
Preprocessing
Auto-Orient: Applied
Static Crop: 10-80% Horizontal Region, 10-80% Vertical Region
Resize: Stretch to 2048x2048
Auto-Adjust Contrast: Using Contrast Stretching
Tile: 2 rows x 2 columns
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
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -13% and +13%
Blur: Up to 0.5px
Noise: Up to 1% of pixels