Dataset Versions
v3
2024-06-20 7:14am
Generated on Jun 20, 2024
348 Total Images
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Dataset Split
Train Set 100%
348Images
Valid Set %
0Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Auto-Adjust Contrast: Using Adaptive Equalization
Augmentations
Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 23% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Saturation: Between -29% and +29%
Brightness: Between -20% and +20%
Blur: Up to 2.5px
Noise: Up to 0.65% of pixels