v4

2024-09-17 6:51am

Generated on Sep 17, 2024

Dataset Split

Train Set 88%
855Images
Valid Set 12%
117Images
Test Set 0%
4Images

Preprocessing

Auto-Orient: Applied
Static Crop: 10-90% Horizontal Region, 10-90% Vertical Region
Modify Classes: 2 remapped, 0 dropped

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Shear: ±15° Horizontal, ±15° Vertical
Brightness: Between -10% and +10%
Exposure: Between -10% and +10%
Blur: Up to 0.6px
Noise: Up to 0.73% of pixels