v1

2024-09-24 1:49pm

Generated on Sep 24, 2024

Dataset Split

Train Set 88%
177Images
Valid Set 8%
17Images
Test Set 4%
8Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Shear: ±10° Horizontal, ±10° Vertical
Blur: Up to 2px
Noise: Up to 1.49% of pixels
Cutout: 3 boxes with 9% size each

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