Dataset Versions

v1

87-9-4 split

Generated on Nov 21, 2024

Dataset Split

Train Set 87%
4327Images
Valid Set 9%
428Images
Test Set 4%
218Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 0 remapped, 4 dropped
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
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical