lane Dataset
v2
2023-03-07 12:17pm
Generated on Mar 7, 2023
248 Total Images
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Dataset Split
Train Set 99%
246Images
Valid Set 0%
1Images
Test Set 0%
1Images
Preprocessing
Auto-Orient: Applied
Static Crop: 6-94% Horizontal Region, 10-93% Vertical Region
Resize: Stretch to 2048x2048
Auto-Adjust Contrast: Using Histogram Equalization
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Applied
Crop: 0% Minimum Zoom, 5% Maximum Zoom
Rotation: Between -10° and +10°
Shear: ±7° Horizontal, ±7° Vertical
Hue: Between -25° and +25°
Saturation: Between -30% and +30%
Brightness: Between -16% and +16%
Exposure: Between -15% and +15%
Blur: Up to 0.5px
Noise: Up to 1% of pixels