Dataset Versions

v7

2024-06-10 12:04am

Generated on Jun 9, 2024

Dataset Split

Train Set 96%
3795Images
Valid Set 3%
107Images
Test Set 1%
52Images

Preprocessing

Auto-Orient: Applied
Static Crop: 0-100% Horizontal Region, 47-84% Vertical Region
Resize: Stretch to 256x256
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 30% Maximum Zoom
Rotation: Between -15° and +15°
Saturation: Between -33% and +33%