Dataset Versions
Versions
v1
2023-11-21 4:12pm
Generated on Nov 21, 2023
123 Total Images
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Dataset Split
Train Set 100%
123Images
Valid Set %
0Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Static Crop: 28-68% Horizontal Region, 28-68% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization
Grayscale: Applied
Augmentations
Outputs per training example: 3
Crop: 0% Minimum Zoom, 15% Maximum Zoom
Shear: ±16° Horizontal, ±16° Vertical
Hue: Between -100° and +100°
Saturation: Between -30% and +30%
Brightness: Between -30% and +30%
Blur: Up to 1px
Noise: Up to 8% of pixels
Cutout: 16 boxes with 8% size each