Dataset Versions
v1
2024-06-13 12:56am
Generated on Jun 13, 2024
652 Total Images
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Dataset Split
Train Set 92%
600Images
Valid Set 5%
35Images
Test Set 3%
17Images
Preprocessing
Auto-Orient: Applied
Resize: Fit (reflect edges) in 342x256
Augmentations
Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Hue: Between -15° and +15°
Exposure: Between -10% and +10%
Blur: Up to 1.8px
Noise: Up to 0.1% of pixels