Dataset Versions
v1
2023-12-26 11:12pm
Generated on Dec 26, 2023
564 Total Images
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Dataset Split
Train Set 100%
564Images
Valid Set %
0Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Static Crop: 20-75% Horizontal Region, 20-75% Vertical Region
Resize: Stretch to 160x160
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 27% Maximum Zoom
Rotation: Between -24° and +24°
Shear: ±21° Horizontal, ±21° Vertical
Saturation: Between -33% and +33%
Brightness: Between -19% and +19%
Exposure: Between -7% and +7%
Blur: Up to 3.25px
Noise: Up to 2% of pixels