Dataset Versions

v8

2024-08-29 12:23am

Generated on Aug 29, 2024

Dataset Split

Train Set 92%
1350Images
Valid Set 6%
84Images
Test Set 2%
26Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -45° and +45°
Shear: ±32° Horizontal, ±14° Vertical
Blur: Up to 1.3px
Cutout: 4 boxes with 14% size each