Dataset Versions
v2
2024-04-11 10:53am
Generated on Apr 11, 2024
25614 Total Images
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Dataset Split
Train Set 87%
22383Images
Valid Set 8%
2160Images
Test Set 4%
1071Images
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: 3 rows x 3 columns
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Shear: ±3° Horizontal, ±10° Vertical
Hue: Between -22° and +22°
Noise: Up to 1.8% of pixels