Dataset Versions

v7

2024-01-31 9:26pm

Generated on Jan 31, 2024

Dataset Split

Train Set 86%
5748Images
Valid Set 9%
610Images
Test Set 5%
315Images

Preprocessing

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

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -15° and +15°
Saturation: Between -25% and +25%
Exposure: Between -10% and +10%
Noise: Up to 0.1% of pixels