v2

2024-06-30 4:32am

Generated on Jun 30, 2024

Dataset Split

Train Set 90%
552Images
Valid Set 6%
35Images
Test Set 4%
23Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 256x256

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Shear: ±10° Horizontal, ±10° Vertical
Brightness: Between -15% and +15%
Blur: Up to 2.5px
Noise: Up to 0.1% of pixels