Dataset Versions

v6

2023-09-23 4:22am

Generated on Sep 23, 2023

Dataset Split

Train Set 74%
3780Images
Valid Set 18%
901Images
Test Set 9%
451Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 8 remapped, 0 dropped

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Blur: Up to 2.5px
Noise: Up to 10% of pixels