Dataset Versions

v3

2024-09-13 4:21am

Generated on Sep 13, 2024

Dataset Split

Train Set 78%
3219Images
Valid Set 11%
464Images
Test Set 11%
463Images

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
Blur: Up to 2.5px
Noise: Up to 1.45% of pixels