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Versions
2024-06-11 1:48pm
v3
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6 months ago
2024-06-11 11:38am
v2
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6 months ago
2024-05-10 5:34pm
v1
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7 months ago
v1

2024-05-10 5:34pm

Generated on May 10, 2024
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Dataset Split

Train Set 88%
105Images
Valid Set 8%
10Images
Test Set 4%
5Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 3
Grayscale: Apply to 15% of images
Brightness: Between -15% and +15%
Blur: Up to 2.5px
Noise: Up to 0.1% of pixels
Bounding Box: Blur: Up to 2.5px

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