Dataset Versions

v2

2024-09-04 5:14am

Generated on Sep 4, 2024

Dataset Split

Train Set 96%
5361Images
Valid Set 3%
153Images
Test Set 1%
75Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (black edges) in 1024x768
Modify Classes: 0 remapped, 0 dropped

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Grayscale: Apply to 10% of images
Hue: Between -15° and +15°
Saturation: Between -20% and +20%
Brightness: Between -15% and +15%
Blur: Up to 1.5px
Noise: Up to 0.1% of pixels