Dataset Versions
Versions
v1
2024-06-16 1:33pm
Generated on Jun 16, 2024
1096 Total Images
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Dataset Split
Train Set 82%
900Images
Valid Set 12%
129Images
Test Set 6%
67Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization
Augmentations
Outputs per training example: 2
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 25% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Noise: Up to 2% of pixels