Dataset Versions
v5
2023-02-21 7:28pm
Generated on Feb 21, 2023
584 Total Images
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Dataset Split
Train Set 99%
576Images
Valid Set 1%
4Images
Test Set 1%
4Images
Preprocessing
Auto-Orient: Applied
Static Crop: 10-90% Horizontal Region, 10-90% 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 -13° and +13°
Shear: ±8° Horizontal, ±8° Vertical
Saturation: Between -42% and +42%
Brightness: Between -20% and +20%
Exposure: Between -15% and +15%
Blur: Up to 0.5px
Noise: Up to 1% of pixels