Dataset Versions

v2

2024-04-17 10:15pm

Generated on Apr 17, 2024

Dataset Split

Train Set 90%
3027Images
Valid Set 7%
240Images
Test Set 3%
97Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 1024x768
Auto-Adjust Contrast: Using Histogram Equalization

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Grayscale: Apply to 5% of images
Saturation: Between -25% and +25%
Brightness: Between -5% and +5%
Exposure: Between -10% and +10%
Blur: Up to 1px