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Version 1.0
v1
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18 days ago
v1

Version 1.0

Generated on Dec 7, 2024
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Dataset Split

Train Set 87%
2688Images
Valid Set 8%
258Images
Test Set 4%
127Images

Preprocessing

Auto-Orient: Applied
Resize: Fit within 224x224
Auto-Adjust Contrast: Using Adaptive Equalization
Filter Null: Do not filter any null images.

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Blur: Up to 1px
Cutout: 3 boxes with 15% size each
Bounding Box: Shear: ±10° Horizontal, ±10° Vertical

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