v3

2022-10-29 4:43pm

Generated on Oct 29, 2022

Dataset Split

Train Set 91%
1200Images
Valid Set 7%
96Images
Test Set 2%
20Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (white edges) in 1024x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 50% Maximum Zoom
Rotation: Between -45° and +45°
Shear: ±15° Horizontal, ±15° Vertical
Hue: Between -180° and +180°
Saturation: Between -99% and +99%
Brightness: Between -50% and +50%
Exposure: Between -50% and +50%
Blur: Up to 6.25px
Noise: Up to 1% of pixels