Dataset Versions

v16

2023-04-26 9:44pm

Generated on Apr 26, 2023

Dataset Split

Train Set 70%
5556Images
Valid Set 19%
1476Images
Test Set 12%
941Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 5 remapped, 0 dropped

Augmentations

Outputs per training example: 1
Flip: Horizontal, Vertical
Rotation: Between -15° and +15°
Grayscale: Apply to 50% of images
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Noise: Up to 10% of pixels
Cutout: 5 boxes with 25% size each