Dataset Versions
v3
2023-04-06 8:19pm
Generated on Apr 6, 2023
2889 Total Images
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Dataset Split
Train Set 94%
2723Images
Valid Set 4%
110Images
Test Set 2%
56Images
Preprocessing
Auto-Orient: Applied
Auto-Adjust Contrast: Using Histogram Equalization
Modify Classes: 1 remapped, 1 dropped
Augmentations
Outputs per training example: 7
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Noise: Up to 5% of pixels
Cutout: 3 boxes with 10% size each