Dataset Versions
v4
2023-06-06 9:40pm
Generated on Jun 6, 2023
774 Total Images
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Dataset Split
Train Set 100%
774Images
Valid Set %
0Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -20° and +20°
Shear: ±5° Horizontal, ±5° Vertical
Grayscale: Apply to 1% of images
Hue: Between -5° and +5°
Saturation: Between -10% and +10%
Brightness: Between -10% and +10%
Exposure: Between -10% and +10%
Blur: Up to 1px
Noise: Up to 2% of pixels