Dataset Versions
v2
2023-11-19 1:02am
Generated on Nov 18, 2023
440 Total Images
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Dataset Split
Train Set 93%
411Images
Valid Set 3%
15Images
Test Set 3%
14Images
Preprocessing
Auto-Orient: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -17° and +17°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 25% of images
Hue: Between -74° and +74°
Saturation: Between -35% and +35%
Brightness: Between -31% and +31%
Exposure: Between -17% and +17%
Blur: Up to 3.5px
Noise: Up to 5% of pixels