Dataset Versions

v1

2023-05-24 1:00pm

Generated on May 24, 2023

Dataset Split

Train Set 87%
453Images
Valid Set 8%
43Images
Test Set 4%
22Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Grayscale: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -45° and +45°
Shear: ±19° Horizontal, ±14° Vertical
Hue: Between -25° and +25°
Bounding Box: Brightness: Between -45% and +45%
Bounding Box: Noise: Up to 5% of pixels