Dataset Versions

v3

2024-02-13 9:56pm

Generated on Feb 13, 2024

Dataset Split

Train Set 89%
4092Images
Valid Set 7%
328Images
Test Set 4%
164Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Tile: 2 rows x 2 columns

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 25% of images
Hue: Between -25° and +25°
Brightness: Between -25% and +25%