Dataset Versions

v14

2024-05-17 7:42pm

Generated on May 17, 2024

Dataset Split

Train Set 88%
396Images
Valid Set 8%
34Images
Test Set 4%
18Images

Preprocessing

Auto-Orient: Applied
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°