v12

2024-08-06 7:50am

Generated on Aug 6, 2024

Dataset Split

Train Set 92%
1225Images
Valid Set 5%
70Images
Test Set 3%
35Images

Preprocessing

Auto-Orient: Applied
Static Crop: 10-100% Horizontal Region, 10-90% Vertical Region
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 5
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 2.5px
Noise: Up to 0.1% of pixels

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