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2023-10-15 4:33pm
v9
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a year ago
2023-10-14 10:50pm
v8
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a year ago
2023-10-14 10:28pm
v7
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a year ago
2023-10-14 10:26pm
v6
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a year ago
2023-10-14 10:23pm
v5
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a year ago
2023-10-14 9:45pm
v4
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a year ago
2023-10-14 8:34pm
v3
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a year ago
2023-10-14 4:48pm
v2
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a year ago
2023-10-14 4:39pm
v1
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a year ago
v5

2023-10-14 10:23pm

Generated on Oct 15, 2023
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129 Total Images

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Dataset Split

Train Set 84%
108Images
Valid Set 12%
16Images
Test Set 4%
5Images

Preprocessing

Auto-Orient: Applied

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Grayscale: Apply to 32% of images
Brightness: Between -25% and +25%

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