Dataset Versions

v60

2025-01-03 1:51am

Generated on Jan 2, 2025

Dataset Split

Train Set 92%
657Images
Valid Set 4%
28Images
Test Set 4%
26Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (reflect edges) in 960x960
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Saturation: Between -15% and +15%
Brightness: Between -15% and +15%
Exposure: Between -15% and +15%