Dataset Versions
v5
2024-12-18 10:10am
Generated on Dec 18, 2024
2812 Total Images
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Dataset Split
Train Set 87%
2460Images
Valid Set 8%
234Images
Test Set 4%
118Images
Preprocessing
Auto-Orient: Applied
Augmentations
Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Hue: Between -15° and +15°
Saturation: Between -15% and +15%
Brightness: Between -22% and +22%
Exposure: Between -13% and +13%
Blur: Up to 2.5px
Noise: Up to 1.01% of pixels