Dataset Versions

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Versions
2024-06-01 7:05pm
v7
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6 months ago
2024-06-01 6:45pm
v6
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6 months ago
2024-06-01 6:12pm
v4
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6 months ago
2024-05-31 9:29pm
v3
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6 months ago
2024-05-31 9:25pm
v2
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6 months ago
2024-04-21 4:23pm
v1
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7 months ago
v2

2024-05-31 9:25pm

Generated on Jun 1, 2024
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3232 Total Images

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Dataset Split

Train Set 95%
3063Images
Valid Set 5%
169Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x384
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Hue: Between -11° and +11°
Brightness: Between -7% and +7%
Exposure: Between -10% and +10%
Blur: Up to 0.9px
Noise: Up to 1.71% of pixels

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