Dataset Versions

v11

2024-09-08 5:12pm

Generated on Sep 8, 2024

Dataset Split

Train Set 82%
18Images
Valid Set 9%
2Images
Test Set 9%
2Images

Preprocessing

Modify Classes: 0 remapped, 2 dropped

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Hue: Between -15° and +15°
Saturation: Between -30% and +30%
Brightness: Between -15% and +15%