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Versions
2023-03-21 8:15am
v14
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2 years ago
2023-03-20 11:35pm
v12
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2 years ago
2023-03-20 11:25pm
v10
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2 years ago
2023-03-20 9:04am
v9
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2 years ago
2023-03-19 4:16pm
v8
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2 years ago
2023-03-19 4:11pm
v7
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2 years ago
2023-03-19 4:08pm
v6
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2 years ago
2023-03-19 3:29pm
v5
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2 years ago
2023-03-19 3:12pm
v4
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2 years ago
2023-03-19 3:06pm
v3
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2 years ago
2023-03-19 2:41pm
v2
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2 years ago
v2

2023-03-19 2:41pm

Generated on Mar 19, 2023
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1070 Total Images

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Dataset Split

Train Set 89%
957Images
Valid Set 8%
83Images
Test Set 3%
30Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -19° and +19°
Grayscale: Apply to 25% of images
Saturation: Between -40% and +40%
Exposure: Between -15% and +15%
Noise: Up to 3% of pixels

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