Dataset Versions
v8
2024-11-19 2:47am
Generated on Nov 18, 2024
1725 Total Images
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Dataset Split
Train Set 92%
1581Images
Valid Set 4%
73Images
Test Set 4%
71Images
Preprocessing
Auto-Orient: Applied
Static Crop: 20-82% Horizontal Region, 20-82% Vertical Region
Resize: Fill (with center crop) in 640x640
Auto-Adjust Contrast: Using Histogram Equalization
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -20° and +20°
Shear: ±16° Horizontal, ±10° Vertical