Dataset Versions

v2

2024-08-10 3:10am

Generated on Aug 10, 2024

Dataset Split

Train Set 88%
15408Images
Valid Set 8%
1464Images
Test Set 4%
737Images

Preprocessing

Auto-Orient: Applied
Static Crop: 25-60% Horizontal Region, 25-75% Vertical Region
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Hue: Between -15° and +15°
Exposure: Between -10% and +10%
Blur: Up to 2.5px
Noise: Up to 0.1% of pixels