RoadSegmentation Dataset
Versions
v1
2024-04-28 12:53am
Generated on Apr 27, 2024
1426 Total Images
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Dataset Split
Train Set 88%
1248Images
Valid Set 8%
119Images
Test Set 4%
59Images
Preprocessing
Auto-Orient: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 2.5px
Noise: Up to 0.1% of pixels
Cutout: 3 boxes with 10% size each
Mosaic: Applied