Dataset Versions
v1
2024-07-10 2:35pm
Generated on Jul 10, 2024
28002 Total Images
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Dataset Split
Train Set 96%
27003Images
Valid Set 2%
500Images
Test Set 2%
499Images
Preprocessing
Auto-Orient: Applied
Augmentations
Outputs per training example: 3
Crop: 0% Minimum Zoom, 22% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±27° Horizontal, ±16° Vertical
Hue: Between -33° and +33°
Saturation: Between -46% and +46%
Brightness: Between -37% and +37%
Exposure: Between -6% and +6%
Blur: Up to 1.4px
Noise: Up to 1.88% of pixels
Cutout: 5 boxes with 10% size each