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2023-01-12 5:56pm
v1
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2 years ago
v1

2023-01-12 5:56pm

Generated on Jan 12, 2023
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720 Total Images

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Dataset Split

Train Set 88%
630Images
Valid Set 8%
60Images
Test Set 4%
30Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization

Augmentations

Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Exposure: Between -15% and +15%
Blur: Up to 1.5px
Noise: Up to 5% of pixels
Cutout: 3 boxes with 10% size each

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