Dataset Versions
v5
2024-01-09 2:12am
Generated on Jan 9, 2024
600 Total Images
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Dataset Split
Train Set 88%
525Images
Valid Set 8%
50Images
Test Set 4%
25Images
Preprocessing
Auto-Orient: Applied
Static Crop: 11-100% Horizontal Region, 5-99% Vertical Region
Augmentations
Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 30% Maximum Zoom
Shear: ±15° Horizontal, ±15° Vertical
Hue: Between -8° and +8°
Saturation: Between -20% and +20%
Brightness: Between -13% and +13%
Exposure: Between -5% and +5%
Blur: Up to 1.5px