Dataset Versions

v2

2024-07-16 1:29am

Generated on Jul 16, 2024

Dataset Split

Train Set 90%
5420Images
Valid Set 6%
384Images
Test Set 3%
194Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization

Augmentations

Outputs per training example: 2
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 15% of images
Exposure: Between -10% and +10%
Blur: Up to 2.5px
Noise: Up to 0.22% of pixels