Dataset Versions

v21

2023-12-06 11:39am

Generated on Dec 6, 2023

Dataset Split

Train Set 74%
1295Images
Valid Set 16%
274Images
Test Set 10%
170Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization

Augmentations

Outputs per training example: 5
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Blur: Up to 1.5px
Noise: Up to 5% of pixels