Dataset Versions

v1

2024-02-22 10:06pm

Generated on Feb 22, 2024

Dataset Split

Train Set 88%
4875Images
Valid Set 8%
464Images
Test Set 4%
232Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (black edges) in 224x224

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Blur: Up to 2.5px
Noise: Up to 0.1% of pixels