Dataset Versions

v26

HQ_delval

Generated on Oct 19, 2023

Dataset Split

Train Set 91%
1170Images
Valid Set 9%
110Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Static Crop: 0-100% Horizontal Region, 2-98% Vertical Region
Resize: Stretch to 1920x1080
Modify Classes: 0 remapped, 0 dropped
Filter Null: Require at least 95% of images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -20° and +20°
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Brightness: Between -20% and +20%
Exposure: Between -10% and +10%
Blur: Up to 1.25px
Noise: Up to 2% of pixels