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2024-04-16 12:46am
v8
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7 months ago
2024-04-16 12:45am
v7
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7 months ago
2024-04-16 12:43am
v6
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7 months ago
2024-04-15 8:19pm
v5
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7 months ago
2024-04-13 11:35pm
v4
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7 months ago
2024-04-13 7:07pm
v3
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7 months ago
2024-04-13 7:02pm
v2
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7 months ago
2024-04-13 12:07am
v1
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7 months ago
v5

2024-04-15 8:19pm

Generated on Apr 15, 2024
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Dataset Split

Train Set 91%
320Images
Valid Set 6%
22Images
Test Set 3%
11Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 225x225
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 5
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Blur: Up to 2.5px
Noise: Up to 0.1% of pixels

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