Dataset Versions
v1
2024-07-13 3:53pm
Generated on Jul 13, 2024
755 Total Images
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Dataset Split
Train Set 87%
660Images
Valid Set 8%
64Images
Test Set 4%
31Images
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°
Hue: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Noise: Up to 1.01% of pixels