Dataset Versions

v1

2024-04-06 10:48am

Generated on Apr 6, 2024

Dataset Split

Train Set 88%
3147Images
Valid Set 8%
296Images
Test Set 4%
142Images

Preprocessing

Auto-Orient: Applied
Static Crop: 23-75% Horizontal Region, 23-84% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Contrast Stretching

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Grayscale: Apply to 24% of images
Saturation: Between -31% and +31%
Exposure: Between -15% and +15%
Blur: Up to 2.2px
Noise: Up to 1.45% of pixels