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2023-06-28 4:23pm
v5
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a year ago
2023-06-27 4:42pm
v4
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a year ago
2023-06-26 4:06pm
v3
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a year ago
2023-06-26 2:55pm
v1
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a year ago
v3

2023-06-26 4:06pm

Generated on Jun 26, 2023
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Dataset Split

Train Set 88%
3279Images
Valid Set 8%
312Images
Test Set 4%
156Images

Preprocessing

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

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -25° and +25°
Grayscale: Apply to 25% of images
Saturation: Between -25% and +25%
Exposure: Between -25% and +25%
Blur: Up to 1px
Cutout: 10 boxes with 10% size each

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