Dataset Versions

v6

2024-04-26 9:03pm

Generated on Apr 27, 2024

Dataset Split

Train Set 92%
615Images
Valid Set 5%
34Images
Test Set 3%
21Images

Preprocessing

Auto-Orient: Applied
Grayscale: Applied

Augmentations

Outputs per training example: 5
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 25% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Hue: Between -20° and +20°
Saturation: Between -20% and +20%
Brightness: Between -25% and +25%
Exposure: Between -12% and +12%
Blur: Up to 4.9px
Noise: Up to 0.97% of pixels