Dataset Versions

v6

2024-09-02 7:10am

Generated on Sep 2, 2024

Dataset Split

Train Set 87%
33Images
Valid Set 8%
3Images
Test Set 5%
2Images

Preprocessing

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

Augmentations

Outputs per training example: 3
Blur: Up to 2.5px
Noise: Up to 1.01% of pixels
Cutout: 6 boxes with 5% size each
Bounding Box: Flip: Horizontal, Vertical
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise
Bounding Box: Rotation: Between -15° and +15°
Bounding Box: Shear: ±10° Horizontal, ±10° Vertical
Bounding Box: Blur: Up to 2.5px