Dataset Versions

v1

2024-02-25 1:12pm

Generated on Feb 25, 2024

Dataset Split

Train Set 93%
3288Images
Valid Set 4%
132Images
Test Set 4%
126Images

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, Vertical
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Grayscale: Apply to 15% of images
Brightness: Between -15% and +15%
Noise: Up to 0.1% of pixels