Dataset Versions

v13

2024-05-09 9:50pm

Generated on May 9, 2024

Dataset Split

Train Set 89%
396Images
Valid Set 7%
33Images
Test Set 4%
18Images

Preprocessing

Auto-Orient: Applied
Modify Classes: 0 remapped, 1 dropped
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -45° and +45°