Dataset Versions

v13

2024-03-30 5:25pm

Generated on Mar 30, 2024

Dataset Split

Train Set 100%
8750Images
Valid Set 0%
17Images
Test Set 0%
13Images

Preprocessing

Auto-Orient: Applied
Resize: Fill (with center crop) in 1024x1024
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 50
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
Hue: Between -21° and +21°