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2024-05-18 7:07pm
v12
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7 months ago
2024-05-18 5:19pm
v11
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7 months ago
2024-05-18 4:14pm
v10
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7 months ago
2024-05-18 2:35pm
v9
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7 months ago
2024-05-18 2:29pm
v8
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7 months ago
2024-05-17 10:54pm
v7
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7 months ago
2024-05-17 7:22pm
v6
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7 months ago
2024-05-17 6:08pm
v5
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7 months ago
2024-05-17 5:41pm
v4
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7 months ago
2024-05-17 2:44am
v3
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7 months ago
2024-05-17 1:22am
v2
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7 months ago
2024-05-16 7:47pm
v1
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7 months ago
v9

2024-05-18 2:35pm

Generated on May 18, 2024
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336 Total Images

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Dataset Split

Train Set 91%
306Images
Valid Set 9%
30Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal
Grayscale: Apply to 6% of images
Hue: Between -6° and +6°
Saturation: Between -5% and +5%
Brightness: Between -6% and +6%
Exposure: Between -4% and +4%
Blur: Up to 0.9px
Noise: Up to 1.05% of pixels

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