Dataset Versions
v2
2024-01-03 2:06pm
Generated on Jan 3, 2024
27 Total Images
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Dataset Split
Train Set 89%
24Images
Valid Set 7%
2Images
Test Set 4%
1Images
Preprocessing
Auto-Orient: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -7° and +7°
Shear: ±10° Horizontal, ±10° Vertical
Hue: Between -1° and +1°
Saturation: Between -1% and +1%
Brightness: Between -10% and +10%