Dataset Versions
v3
2023-10-16 8:30pm
Generated on Oct 16, 2023
100 Total Images
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Dataset Split
Train Set 87%
87Images
Valid Set 9%
9Images
Test Set 4%
4Images
Preprocessing
Auto-Orient: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 50% Maximum Zoom
Shear: ±24° Horizontal, ±45° Vertical
Saturation: Between -40% and +40%
Exposure: Between -14% and +14%
Blur: Up to 1px
Noise: Up to 2% of pixels
Cutout: 3 boxes with 33% size each