Dataset Versions
v3
2024-08-11 3:25am
Generated on Aug 11, 2024
2128 Total Images
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Dataset Split
Train Set 92%
1960Images
Valid Set 4%
84Images
Test Set 4%
84Images
Preprocessing
Auto-Orient: Applied
Static Crop: 0-90% Horizontal Region, 10-100% Vertical Region
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 5
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -10° and +10°
Shear: ±10° Horizontal, ±10° Vertical
Saturation: Between -15% and +15%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 2.5px
Noise: Up to 0.1% of pixels