Dataset Versions
Versions
v2
2024-12-02 9:39pm
Generated on Dec 2, 2024
31 Total Images
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Dataset Split
Train Set 87%
27Images
Valid Set 6%
2Images
Test Set 6%
2Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 25% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Saturation: Between -30% and +30%
Brightness: Between -25% and +25%
Blur: Up to 1px
Noise: Up to 0.5% of pixels
Cutout: 3 boxes with 10% size each