Dataset Versions
v2
2024-12-18 3:31pm
Generated on Dec 18, 2024
517 Total Images
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Dataset Split
Train Set 91%
468Images
Valid Set 6%
32Images
Test Set 3%
17Images
Preprocessing
Auto-Orient: Applied
Auto-Adjust Contrast: Using Histogram Equalization
Augmentations
Outputs per training example: 3
90° Rotate: Clockwise
Rotation: Between -15° and +15°
Shear: ±11° Horizontal, ±11° Vertical
Hue: Between -21° and +21°
Saturation: Between -30% and +30%
Blur: Up to 3.9px
Noise: Up to 1.68% of pixels