Dataset Versions

v1

2023-03-17 11:10am

Generated on Mar 17, 2023

Dataset Split

Train Set 88%
72Images
Valid Set 9%
7Images
Test Set 4%
3Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -5° and +5°
Shear: ±15° Horizontal, ±15° Vertical
Hue: Between -90° and +90°
Brightness: Between -25% and +25%