Dataset Versions
Versions
v1
2024-02-07 12:57pm
Generated on Feb 7, 2024
111 Total Images
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Dataset Split
Train Set 100%
111Images
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, 5% Maximum Zoom
Rotation: Between -45° and +45°
Shear: ±15° Horizontal, ±15° Vertical
Brightness: Between -25% and +25%
Blur: Up to 2.1px
Noise: Up to 0.19% of pixels