Dataset Versions
v5
2024-08-20 6:00pm
Generated on Aug 20, 2024
896 Total Images
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Dataset Split
Train Set 90%
804Images
Valid Set 6%
56Images
Test Set 4%
36Images
Preprocessing
Auto-Orient: Applied
Resize: Fit (black edges) in 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%