Dataset Versions

v5

2024-11-26 11:35am

Generated on Nov 26, 2024

Dataset Split

Train Set 91%
2190Images
Valid Set 6%
143Images
Test Set 3%
83Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 1600x1600
Grayscale: Applied
Auto-Adjust Contrast: Using Contrast Stretching

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 15% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Brightness: Between -10% and +10%
Blur: Up to 2px
Noise: Up to 0.95% of pixels