Dataset Versions

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Versions
2023-06-17 11:41pm
v10
·
a year ago
2023-06-15 9:18pm
v9
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a year ago
2023-06-15 12:48pm
v6
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a year ago
2023-06-14 5:16pm
v5
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a year ago
2023-06-14 1:39pm
v4
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a year ago
2023-06-13 5:14pm
v3
·
a year ago
2023-06-13 3:26pm
v2
·
a year ago
2023-06-13 12:58pm
v1
·
a year ago
v2

2023-06-13 3:26pm

Generated on Jun 13, 2023
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Dataset Split

Train Set 82%
354Images
Valid Set 12%
50Images
Test Set 6%
26Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 2
Shear: ±23° Horizontal, ±11° Vertical
Grayscale: Apply to 25% of images
Blur: Up to 1.25px
Noise: Up to 5% of pixels

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