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2023-08-18 11:39pm
v13
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a year ago
2023-08-18 11:37pm
v12
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a year ago
2023-08-18 10:34pm
v11
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a year ago
2023-08-18 10:34pm
v10
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a year ago
2023-08-18 10:33pm
v9
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a year ago
2023-08-18 10:31pm
v8
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a year ago
2023-08-18 10:31pm
v7
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a year ago
2023-08-17 9:59pm
v5
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a year ago
2023-08-17 9:56pm
v4
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a year ago
2023-08-17 12:59pm
v3
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a year ago
2023-08-16 4:35pm
v2
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a year ago
2023-08-16 2:09pm
v1
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a year ago
v2

2023-08-16 4:35pm

Generated on Aug 16, 2023
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596 Total Images

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Dataset Split

Train Set 88%
522Images
Valid Set 8%
49Images
Test Set 4%
25Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 1 remapped, 0 dropped

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 17% Maximum Zoom
Shear: ±45° Horizontal, ±45° Vertical
Grayscale: Apply to 100% of images
Hue: Between -101° and +101°
Brightness: Between -27% and +27%
Blur: Up to 4.75px
Noise: Up to 16% of pixels
Cutout: 20 boxes with 12% size each
Bounding Box: Rotation: Between -24° and +24°
Bounding Box: Shear: ±15° Horizontal, ±15° Vertical
Bounding Box: Blur: Up to 12.5px

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