v1

2022-11-29 4:44pm

Generated on Nov 29, 2022

Dataset Split

Train Set 94%
567Images
Valid Set 4%
23Images
Test Set 2%
11Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 224x224

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 8% Maximum Zoom
Rotation: Between -10° and +10°
Shear: ±14° Horizontal, ±15° Vertical
Saturation: Between -21% and +21%
Exposure: Between -11% and +11%
Noise: Up to 5% of pixels