Dataset Versions
v16
2024-11-16 6:24pm
Generated on Nov 16, 2024
6956 Total Images
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Dataset Split
Train Set 94%
6506Images
Valid Set 5%
364Images
Test Set 1%
86Images
Preprocessing
Auto-Orient: Applied
Static Crop: 41-77% Horizontal Region, 25-60% Vertical Region
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 2
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 9% Maximum Zoom
Rotation: Between -10° and +10°
Shear: ±5° Horizontal, ±10° Vertical
Hue: Between -10° and +10°
Saturation: Between -20% and +20%
Brightness: Between -20% and +20%
Exposure: Between -10% and +10%
Blur: Up to 1.1px
Noise: Up to 0.97% of pixels