Dataset Versions

v7

2024-05-03 4:44pm

Generated on May 3, 2024

Dataset Split

Train Set 92%
480Images
Valid Set 6%
30Images
Test Set 2%
10Images

Preprocessing

Auto-Orient: Applied
Grayscale: Applied
Modify Classes: 0 remapped, 1 dropped

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 25% Maximum Zoom
Rotation: Between -10° and +10°
Shear: ±10° Horizontal, ±10° Vertical
Saturation: Between -20% and +20%
Brightness: Between -25% and +25%
Exposure: Between -10% and +10%
Blur: Up to 4.9px
Noise: Up to 0.14% of pixels