Dataset Versions
Versions
v1
2023-12-11 9:15pm
Generated on Dec 11, 2023
158 Total Images
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Dataset Split
Train Set 87%
138Images
Valid Set 8%
13Images
Test Set 4%
7Images
Preprocessing
Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Augmentations
Outputs per training example: 3
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Saturation: Between -25% and +25%
Blur: Up to 2.5px
Cutout: 3 boxes with 10% size each