Dataset Versions
v3
2024-01-16 3:50pm
Generated on Jan 16, 2024
3150 Total Images
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Dataset Split
Train Set 62%
1950Images
Valid Set 4%
141Images
Test Set 4%
138Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Saturation: Between -25% and +25%
Exposure: Between -10% and +10%