Dataset Versions
v4
2024-01-09 12:43pm
Generated on Jan 10, 2024
190 Total Images
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Dataset Split
Train Set 87%
165Images
Valid Set 9%
17Images
Test Set 4%
8Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Rotation: Between -8° and +8°
Shear: ±10° Horizontal, ±10° Vertical
Hue: Between -19° and +19°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 1.2px
Noise: Up to 0.1% of pixels