v1

2024-02-01 1:22pm

Generated on Feb 1, 2024

Dataset Split

Train Set 87%
774Images
Valid Set 8%
74Images
Test Set 4%
37Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Grayscale: Apply to 20% of images
Brightness: Between -25% and +25%
Blur: Up to 2.5px

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