Dataset Versions
v7
2024-11-11 7:03am
Generated on Nov 11, 2024
788 Total Images
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Dataset Split
Train Set 82%
648Images
Valid Set 12%
92Images
Test Set 6%
48Images
Preprocessing
Auto-Orient: Applied
Static Crop: 10-81% Horizontal Region, 20-88% Vertical Region
Resize: Stretch to 640x640
Grayscale: Applied
Auto-Adjust Contrast: Using Adaptive Equalization
Tile: 2 rows x 2 columns
Augmentations
Outputs per training example: 2
Flip: Horizontal, Vertical
90° Rotate: Upside Down
Rotation: Between -45° and +45°
Shear: ±10° Horizontal, ±10° Vertical
Saturation: Between -34% and +34%
Brightness: Between -15% and +15%
Noise: Up to 0.1% of pixels