Dataset Versions
Versions
v1
2024-07-17 4:39pm
Generated on Jul 17, 2024
2073 Total Images
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Dataset Split
Train Set 88%
1818Images
Valid Set 8%
170Images
Test Set 4%
85Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Crop: 0% Minimum Zoom, 28% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±14° Horizontal, ±15° Vertical
Hue: Between -24° and +24°
Saturation: Between -34% and +34%
Brightness: Between -24% and +24%
Exposure: Between -15% and +15%
Blur: Up to 4.9px
Noise: Up to 1.96% of pixels