Dataset Versions
v4
2024-09-12 2:58pm
Generated on Sep 12, 2024
3837 Total Images
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Dataset Split
Train Set 87%
3357Images
Valid Set 8%
320Images
Test Set 4%
160Images
Preprocessing
Auto-Orient: Applied
Augmentations
Outputs per training example: 3
Rotation: Between -8° and +8°
Shear: ±10° Horizontal, ±10° Vertical
Hue: Between -180° and +180°
Saturation: Between -24% and +24%
Brightness: Between -25% and +25%
Exposure: Between -17% and +17%
Blur: Up to 4.5px
Noise: Up to 0.85% of pixels