Dataset Versions
Versions
v1
2023-05-23 9:25am
Generated on May 23, 2023
1780 Total Images
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Dataset Split
Train Set 99%
1764Images
Valid Set 0%
8Images
Test Set 0%
8Images
Preprocessing
Auto-Orient: Applied
Static Crop: 8-93% Horizontal Region, 12-93% Vertical Region
Resize: Stretch to 1024x1024
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, 12% Maximum Zoom
Rotation: Between -12° and +12°
Shear: ±12° Horizontal, ±12° Vertical
Hue: Between -31° and +31°
Saturation: Between -28% and +28%
Brightness: Between -15% and +15%
Exposure: Between -12% and +12%
Blur: Up to 0.5px
Noise: Up to 1% of pixels