Dataset Versions
v3
2024-09-04 11:19am
Generated on Sep 4, 2024
3520 Total Images
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Dataset Split
Train Set 82%
2880Images
Valid Set 9%
320Images
Test Set 9%
320Images
Preprocessing
Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 50-100% Vertical Region
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 25% Maximum Zoom
Shear: ±10° Horizontal, ±10° Vertical
Hue: Between -15° and +15°
Saturation: Between -33% and +33%
Brightness: Between -20% and +20%
Exposure: Between -5% and +5%
Blur: Up to 2.5px