Dataset Versions

v1

2024-10-14 2:07pm

Generated on Oct 14, 2024

Dataset Split

Train Set 82%
16932Images
Valid Set 5%
948Images
Test Set 14%
2844Images

Preprocessing

Auto-Orient: Applied
Static Crop: 23-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Contrast Stretching
Tile: 2 rows x 2 columns

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical