Dataset Versions

v1

2023-10-20 12:12am

Generated on Oct 20, 2023

Dataset Split

Train Set 87%
1836Images
Valid Set 9%
179Images
Test Set 4%
87Images

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
Rotation: Between -20° and +20°
Saturation: Between -54% and +54%
Noise: Up to 5% of pixels