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2024-09-18 6:37pm
v15
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2 months ago
2024-09-16 5:42pm
v14
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2 months ago
2024-09-16 12:45pm
v13
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2 months ago
2024-09-15 10:48pm
v12
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2 months ago
2024-09-15 10:47pm
v11
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2 months ago
2024-09-15 10:15pm
v10
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2 months ago
2024-09-15 3:01pm
v9
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2 months ago
2024-09-15 3:00pm
v8
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2 months ago
2024-09-14 3:10pm
v7
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2 months ago
2024-09-14 3:06pm
v6
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2 months ago
2024-09-13 8:32pm
v5
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2 months ago
2024-09-13 5:27pm
v4
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2 months ago
2024-09-13 5:18pm
v3
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2 months ago
2024-09-13 1:16pm
v2
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2 months ago
2024-09-13 1-05pm
v1
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2 months ago
v13

2024-09-16 12:45pm

Generated on Sep 16, 2024
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876 Total Images

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Dataset Split

Train Set 87%
766Images
Valid Set 9%
83Images
Test Set 3%
27Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 0 remapped, 1 dropped
Filter Null: Require at least 99% of images to contain annotations.

Augmentations

Outputs per training example: 3
Rotation: Between -15° and +15°
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 0.8px
Noise: Up to 0.18% of pixels

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