Dataset Versions
Versions
v2
2024-01-06 1:22pm
Generated on Jan 6, 2024
645 Total Images
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Dataset Split
Train Set 87%
564Images
Valid Set 8%
54Images
Test Set 4%
27Images
Preprocessing
Auto-Orient: Applied
Resize: Fill (with center crop) in 800x800
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Hue: Between -4° and +4°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 2.5px
Noise: Up to 0.1% of pixels