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Versions
2023-05-29 6:17pm
v4
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a year ago
2023-05-29 4:24pm
v3
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a year ago
2023-05-05 10:26am
v2
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2 years ago
2023-05-04 5:30pm
v1
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2 years ago
v1

2023-05-04 5:30pm

Generated on May 4, 2023
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81 Total Images

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Dataset Split

Train Set 85%
69Images
Valid Set 7%
6Images
Test Set 7%
6Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal
Rotation: Between -15° and +15°
Grayscale: Apply to 25% of images
Blur: Up to 2.5px
Noise: Up to 5% of pixels

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