v2

2024-09-16 7:49am

Generated on Sep 16, 2024

Dataset Split

Train Set 88%
399Images
Valid Set 12%
54Images
Test Set 0%
2Images

Preprocessing

Auto-Orient: Applied
Static Crop: 10-90% Horizontal Region, 10-90% Vertical Region
Modify Classes: 1 remapped, 0 dropped

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Shear: ±15° Horizontal, ±15° Vertical
Brightness: Between -20% and +20%
Exposure: Between -10% and +10%
Blur: Up to 1px
Noise: Up to 0.93% of pixels