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2023-08-05 8:59pm
v6
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a year ago
2023-08-05 8:58pm
v5
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a year ago
2023-08-05 8:56pm
v4
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a year ago
fini v2
v3
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a year ago
2023-08-05 8:14pm
v2
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a year ago
2023-08-05 8:13pm
v1
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a year ago
v1

2023-08-05 8:13pm

Generated on Aug 5, 2023
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10 Total Images

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Dataset Split

Train Set 90%
9Images
Valid Set 10%
1Images
Test Set %
0Images

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
Crop: 0% Minimum Zoom, 40% Maximum Zoom
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Blur: Up to 1.5px
Noise: Up to 5% of pixels

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