Dataset Versions

v16

2023-02-09 3:04pm

Generated on Feb 9, 2023

Dataset Split

Train Set 95%
522Images
Valid Set 3%
14Images
Test Set 3%
16Images

Preprocessing

Auto-Orient: Applied
Static Crop: 13-86% Horizontal Region, 13-86% Vertical Region
Resize: Stretch to 2048x2048
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, 10% Maximum Zoom
Rotation: Between -17° and +17°
Shear: ±10° Horizontal, ±10° Vertical
Saturation: Between -44% and +44%
Brightness: Between -32% and +32%
Exposure: Between -16% and +16%
Blur: Up to 0.5px
Noise: Up to 2% of pixels

Similar Projects

See More