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Versions
2022-10-28 2:02pm
v7
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2 years ago
2022-10-24 1:29am
v6
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2 years ago
2022-10-24 12:36am
v4
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2 years ago
2022-10-21 9:05pm
v3
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2 years ago
2022-10-21 12:07am
v2
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2 years ago
2022-10-20 11:39pm
v1
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2 years ago
v1

2022-10-20 11:39pm

Generated on Oct 20, 2022
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Dataset Split

Train Set 88%
42Images
Valid Set 8%
4Images
Test Set 4%
2Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Saturation: Between -25% and +25%

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