Dataset Versions
Versions
v1
2024-11-28 10:15am
Generated on Nov 28, 2024
61 Total Images
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Dataset Split
Train Set 89%
54Images
Valid Set 8%
5Images
Test Set 3%
2Images
Preprocessing
Auto-Orient: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -10° and +10°
Shear: ±10° Horizontal, ±10° Vertical
Hue: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 2.5px
Noise: Up to 0.1% of pixels