Dataset Versions

v1

2023-03-14 5:27pm

Generated on Mar 14, 2023

Dataset Split

Train Set 94%
50Images
Valid Set 4%
2Images
Test Set 2%
1Images

Preprocessing

Auto-Orient: Applied
Filter Null: Require at least 90% of images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Mosaic: Applied