Dataset Versions

v9

2024-11-28 8:25pm

Generated on Nov 28, 2024

Dataset Split

Train Set 97%
2682Images
Valid Set 3%
87Images
Test Set 0%
6Images

Preprocessing

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

Augmentations

Outputs per training example: 2
Flip: Horizontal, Vertical
Shear: ±11° Horizontal, ±11° Vertical
Hue: Between -8° and +8°
Saturation: Between -34% and +34%
Brightness: Between -25% and +25%
Exposure: Between -15% and +15%
Blur: Up to 0.9px
Noise: Up to 1.49% of pixels