Dataset Versions

v1

2023-09-14 4:05pm

Generated on Sep 14, 2023

Dataset Split

Train Set 83%
3681Images
Valid Set 10%
458Images
Test Set 7%
298Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Filter Null: Require at least 30% of images to contain annotations.

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Saturation: Between -34% and +34%
Brightness: Between -31% and +31%
Blur: Up to 2.25px
Bounding Box: Rotation: Between -15° and +15°