Dataset Versions

v9

Expanded

Generated on Jun 14, 2024

Dataset Split

Train Set 90%
729Images
Valid Set 6%
45Images
Test Set 4%
32Images

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, 20% Maximum Zoom
Rotation: Between -10° and +10°
Shear: ±5° Horizontal, ±5° Vertical
Brightness: Between -5% and +5%
Exposure: Between -5% and +5%
Blur: Up to 2.5px
Noise: Up to 1.01% of pixels