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2023-09-19 2:27am
v6
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a year ago
2023-09-19 2:21am
v5
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a year ago
2023-09-18 10:29pm
v4
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a year ago
2023-09-18 10:00pm
v3
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a year ago
2023-09-18 9:39pm
v2
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a year ago
2023-09-18 9:37pm
v1
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a year ago
v6

2023-09-19 2:27am

Generated on Sep 18, 2023
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Dataset Split

Train Set 82%
1800Images
Valid Set 9%
200Images
Test Set 9%
200Images

Preprocessing

Auto-Orient: Applied
Auto-Adjust Contrast: Using Contrast Stretching
Tile: 10 rows x 10 columns

Augmentations

Outputs per training example: 3
Shear: ±30° Horizontal, ±0° Vertical
Blur: Up to 18px
Cutout: 10 boxes with 5% size each

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