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2024-04-11 12:23pm
v16
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8 months ago
2024-04-11 12:06pm
v15
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8 months ago
2024-04-11 10:58am
v14
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8 months ago
2024-04-10 8:11pm
v13
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8 months ago
2024-04-10 7:31pm
v12
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8 months ago
2024-04-10 7:29pm
v11
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8 months ago
2024-04-10 7:24pm
v10
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8 months ago
2024-04-09 1:53pm
v9
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8 months ago
2024-04-09 1:49pm
v8
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8 months ago
2024-04-09 1:47pm
v7
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8 months ago
2024-04-09 10:22am
v6
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8 months ago
2024-04-09 10:15am
v5
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8 months ago
2024-04-08 7:15pm
v4
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8 months ago
2024-04-08 6:10pm
v3
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8 months ago
2024-04-08 4:59pm
v2
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8 months ago
2024-04-08 4:53pm
v1
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8 months ago
v5

2024-04-09 10:15am

Generated on Apr 9, 2024
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215 Total Images

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Dataset Split

Train Set 88%
189Images
Valid Set 6%
13Images
Test Set 6%
13Images

Preprocessing

Auto-Orient: Applied
Resize: Fill (with center crop) in 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Grayscale: Apply to 15% of images
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Noise: Up to 0.1% of pixels

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