Dataset Versions

v12

2024-07-31 5:01pm

Generated on Jul 31, 2024

Dataset Split

Train Set 90%
903Images
Valid Set 6%
62Images
Test Set 4%
39Images

Preprocessing

Auto-Orient: Applied
Resize: Fit within 640x640
Grayscale: Applied
Modify Classes: 1 remapped, 0 dropped

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 10% 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 2px
Noise: Up to 1.05% of pixels