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2024-12-13 12:01am
v14
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6 days ago
2024-12-12 11:40pm
v13
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6 days ago
2024-11-20 12:45am
v11
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a month ago
2024-11-19 9:07am
v10
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a month ago
2024-11-15 1:15am
v9
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a month ago
2024-11-01 2:31pm
v8
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2 months ago
2024-10-22 2:36am
v7
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2 months ago
2024-09-27 6:47am
v6
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3 months ago
2024-09-24 3:11pm
v5
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3 months ago
2024-09-23 2:55pm
v4
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3 months ago
2024-09-23 11:03am
v3
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3 months ago
2024-09-22 2:45pm
v2
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3 months ago
2024-09-18 2:19pm
v1
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3 months ago
v2

2024-09-22 2:45pm

Generated on Sep 22, 2024
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1348 Total Images

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Dataset Split

Train Set 87%
1179Images
Valid Set 8%
113Images
Test Set 4%
56Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 15% of images
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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