segmentation Dataset
v2
2024-09-17 1:49pm
Generated on Sep 17, 2024
8604 Total Images
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Dataset Split
Train Set 92%
7920Images
Valid Set 5%
448Images
Test Set 3%
236Images
Preprocessing
Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Tile: 2 rows x 2 columns
Augmentations
Outputs per training example: 5
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -45° and +45°
Hue: Between -7° and +7°
Saturation: Between -30% and +30%
Brightness: Between -24% and +24%
Exposure: Between -12% and +12%
Blur: Up to 0.8px
Noise: Up to 1.68% of pixels