Dataset Versions

v9

2024-07-27 3:50am

Generated on Jul 27, 2024

Dataset Split

Train Set 86%
138Images
Valid Set 9%
14Images
Test Set 5%
8Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Blur: Up to 2.5px
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise