Dataset Versions

v6

2024-10-16 3:48pm

Generated on Oct 16, 2024

Dataset Split

Train Set 88%
1290Images
Valid Set 8%
122Images
Test Set 4%
62Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
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 -15° and +15°
Brightness: Between -24% and +24%
Bounding Box: Blur: Up to 2.5px
Bounding Box: Noise: Up to 0.18% of pixels