Dataset Versions
v1
2023-06-06 11:23pm
Generated on Jun 6, 2023
1239 Total Images
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Dataset Split
Train Set 100%
1239Images
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
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -18° and +18°
Shear: ±15° Horizontal, ±15° Vertical
Hue: Between -10° and +10°
Saturation: Between -10% and +10%
Brightness: Between -8% and +8%
Exposure: Between -8% and +8%
Blur: Up to 1.25px
Noise: Up to 1% of pixels