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2024-09-13 2:56am
v9
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2 months ago
2024-09-12 3:37am
v8
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2 months ago
2024-09-11 6:47am
v7
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2 months ago
2024-09-06 6:22am
v6
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3 months ago
2024-09-05 6:17am
v5
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3 months ago
2024-09-01 2:29am
v4
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3 months ago
2024-08-30 5:01am
v3
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3 months ago
2024-08-29 3:15am
v2
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3 months ago
2024-03-28 1:09pm
v1
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8 months ago
v4

2024-09-01 2:29am

Generated on Sep 1, 2024
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505 Total Images

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Dataset Split

Train Set 89%
447Images
Valid Set 8%
41Images
Test Set 3%
17Images

Preprocessing

Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied

Augmentations

Outputs per training example: 3
Hue: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 2.5px
Noise: Up to 0.1% of pixels

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