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2023-12-11 1:45pm
v9
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a year ago
2023-12-11 1:29pm
v8
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a year ago
2023-12-10 11:37pm
v7
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a year ago
2023-12-10 8:42pm
v6
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a year ago
2023-12-10 8:39pm
v5
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a year ago
2023-12-10 8:32pm
v4
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a year ago
2023-12-10 6:46pm
v3
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a year ago
2023-12-10 6:41pm
v2
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a year ago
2023-12-10 5:51pm
v1
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a year ago
v8

2023-12-11 1:29pm

Generated on Dec 11, 2023
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133 Total Images

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Dataset Split

Train Set 83%
111Images
Valid Set 5%
7Images
Test Set 11%
15Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 25% of images
Blur: Up to 2.5px
Noise: Up to 5% of pixels

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