main Dataset
v9
2024-06-10 10:27pm
Generated on Jun 10, 2024
3038 Total Images
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Dataset Split
Train Set 87%
2635Images
Valid Set 7%
201Images
Test Set 7%
202Images
Preprocessing
Auto-Orient: Applied
Resize: Fit (black edges) in 640x640
Modify Classes: 12 remapped, 6 dropped
Augmentations
Outputs per training example: 5
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
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