Dataset Versions
v9
2024-03-20 5:02pm
Generated on Mar 20, 2024
329 Total Images
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Dataset Split
Train Set 82%
270Images
Valid Set 10%
34Images
Test Set 8%
25Images
Preprocessing
Auto-Orient: Applied
Auto-Adjust Contrast: Using Contrast Stretching
Augmentations
Outputs per training example: 3
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Hue: Between -15° and +15°
Saturation: Between -30% and +30%
Brightness: Between -20% and +20%
Noise: Up to 0.7% of pixels