cigrate segmentation Dataset
Versions
v1
2024-10-31 1:49am
Generated on Oct 31, 2024
414 Total Images
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Dataset Split
Train Set 84%
348Images
Valid Set 7%
29Images
Test Set 9%
37Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Blur: Up to 2.5px
Noise: Up to 5.03% of pixels
Cutout: 3 boxes with 10% size each