Dataset Versions
v3
2024-02-25 1:05pm
Generated on Feb 25, 2024
163 Total Images
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Dataset Split
Train Set 85%
138Images
Valid Set 9%
15Images
Test Set 6%
10Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 224x224
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Shear: ±10° Horizontal, ±10° Vertical
Saturation: Between -25% and +25%
Blur: Up to 2.5px
Noise: Up to 1.05% of pixels
Cutout: 6 boxes with 10% size each