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2024-10-15 6:54am
v2
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a month ago
2024-10-15 6:26am
v1
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a month ago
v2

2024-10-15 6:54am

Generated on Oct 15, 2024
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Dataset Split

Train Set 95%
36Images
Valid Set 3%
1Images
Test Set 3%
1Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Bounding Box: Noise: Up to 0.1% of pixels

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