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2023-07-21 3:31pm
v8
·
a year ago
2023-07-20 4:50pm
v7
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a year ago
2023-07-17 3:28pm
v6
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a year ago
2023-07-17 12:24pm
v5
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a year ago
2023-07-17 9:25am
v4
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a year ago
2023-07-14 2:22pm
v3
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a year ago
2023-07-13 12:49pm
v2
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a year ago
2023-07-12 1:45pm
v1
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a year ago
v8

2023-07-21 3:31pm

Generated on Jul 21, 2023
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Dataset Split

Train Set 87%
384Images
Valid Set 9%
38Images
Test Set 4%
17Images

Preprocessing

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

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 30% Maximum Zoom
Brightness: Between -33% and +33%
Blur: Up to 1px
Cutout: 6 boxes with 20% size each

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