Dataset Versions
v2
2024-06-13 6:49pm
Generated on Jun 13, 2024
830 Total Images
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Dataset Split
Train Set 91%
756Images
Valid Set 6%
50Images
Test Set 3%
24Images
Preprocessing
Auto-Orient: Applied
Resize: Fit (black edges) in 640x640
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°
Saturation: Between -25% and +25%
Exposure: Between -10% and +10%
Blur: Up to 1.8px
Noise: Up to 0.1% of pixels