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2023-09-25 1:19pm
v5
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a year ago
2023-09-24 2:06pm
v4
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a year ago
2023-09-17 2:04pm
v3
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a year ago
2023-09-12 2:24pm
v2
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a year ago
2023-09-12 2:21pm
v1
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a year ago
v5

2023-09-25 1:19pm

Generated on Sep 25, 2023
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Dataset Split

Train Set 93%
3258Images
Valid Set 3%
120Images
Test Set 3%
118Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 4 remapped, 4 dropped

Augmentations

Outputs per training example: 2
Rotation: Between -30° and +30°
Blur: Up to 2.5px
Noise: Up to 9% of pixels

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