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V1

Generated on Aug 23, 2024
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Dataset Split

Train Set 73%
3306Images
Valid Set 14%
610Images
Test Set 13%
601Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Grayscale: Applied
Filter Null: Require at least 70% of images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal
Rotation: Between -10° and +10°
Shear: ±5° Horizontal, ±5° Vertical
Saturation: Between -10% and +10%
Brightness: Between -10% and +10%
Exposure: Between -10% and +10%
Blur: Up to 0.9px
Noise: Up to 0.5% of pixels

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