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2023-03-27 4:43am
v15
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2 years ago
2023-02-09 12:09pm
v14
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2 years ago
2023-02-06 4:03pm
v13
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2 years ago
2023-02-04 9:49am
v12
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2 years ago
2023-01-30 12:15pm
v11
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2 years ago
2023-01-27 11:34am
v10
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2 years ago
2023-01-11 5:19pm
v9
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2 years ago
2023-01-09 5:46pm
v8
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2 years ago
2023-01-09 10:02am
v7
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2 years ago
2023-01-06 12:24pm
v6
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2 years ago
2023-01-06 10:24am
v5
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2 years ago
2023-01-06 10:12am
v4
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2 years ago
2023-01-06 10:00am
v3
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2 years ago
2023-01-04 3:45pm
v2
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2 years ago
2023-01-04 2:03pm
v1
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2 years ago
v1

2023-01-04 2:03pm

Generated on Jan 4, 2023
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232 Total Images

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Dataset Split

Train Set 87%
201Images
Valid Set 8%
18Images
Test Set 6%
13Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal
Rotation: Between -14° and +14°
Grayscale: Apply to 23% of images
Hue: Between -148° and +148°
Saturation: Between -81% and +81%
Brightness: Between -27% and +27%
Blur: Up to 2px
Noise: Up to 9% of pixels
Mosaic: Applied

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