Dataset Versions
v4
2024-03-24 7:43pm
Generated on Mar 25, 2024
604 Total Images
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Dataset Split
Train Set 85%
512Images
Valid Set 9%
56Images
Test Set 6%
36Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Contrast Stretching
Grayscale: Applied
Tile: 2 rows x 2 columns
Augmentations
Outputs per training example: 2
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Shear: ±14° Horizontal, ±10° Vertical
Saturation: Between -29% and +29%
Brightness: Between -15% and +15%
Noise: Up to 1.68% of pixels