Dataset Versions

v3

2024-04-17 6:09pm

Generated on Apr 17, 2024

Dataset Split

Train Set 92%
220Images
Valid Set 6%
14Images
Test Set 2%
5Images

Preprocessing

Auto-Orient: Applied
Resize: Fit within 640x640
Modify Classes: 0 remapped, 1 dropped

Augmentations

Outputs per training example: 5
Crop: 0% Minimum Zoom, 24% Maximum Zoom
Shear: ±13° Horizontal, ±10° Vertical
Grayscale: Apply to 18% of images
Hue: Between -18° and +18°
Saturation: Between -32% and +32%
Brightness: Between -20% and +20%
Exposure: Between -12% and +12%
Blur: Up to 2.8px