Dataset Versions
v3
2024-11-25 5:14pm
Generated on Nov 25, 2024
110 Total Images
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Dataset Split
Train Set 87%
96Images
Valid Set 8%
9Images
Test Set 5%
5Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 30% Maximum Zoom
Shear: ±14° Horizontal, ±15° Vertical
Hue: Between -16° and +16°
Brightness: Between -15% and +15%
Blur: Up to 1.8px
Noise: Up to 0.65% of pixels