Dataset Versions

v2

2024-02-06 6:09pm

Generated on Feb 6, 2024

Dataset Split

Train Set 87%
5601Images
Valid Set 9%
545Images
Test Set 4%
262Images

Preprocessing

Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Brightness: Between -15% and +15%
Noise: Up to 0.89% of pixels