Dataset Versions
v1
2024-07-04 8:40am
Generated on Jul 4, 2024
854 Total Images
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Dataset Split
Train Set 87%
747Images
Valid Set 8%
71Images
Test Set 4%
36Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 500x500
Augmentations
Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 15% of images
Hue: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%