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Versions
2024-02-23 2:59pm
v6
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a year ago
2024-02-20 5:00pm
v5
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a year ago
2024-02-20 4:55pm
v4
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a year ago
2024-02-20 1:19pm
v3
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a year ago
2024-02-14 11:34am
v2
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a year ago
2024-02-12 1:10pm
v1
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a year ago
v1

2024-02-12 1:10pm

Generated on Feb 12, 2024
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144 Total Images

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Dataset Split

Train Set 88%
126Images
Valid Set 8%
12Images
Test Set 4%
6Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Grayscale: Apply to 25% of images
Saturation: Between -34% and +34%
Brightness: Between -25% and +25%
Blur: Up to 4.9px
Noise: Up to 1.92% of pixels

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