Dataset Versions

v2

2022-09-23 11:53am

Generated on Sep 23, 2022

Dataset Split

Train Set 88%
432Images
Valid Set 12%
59Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 550x550
Auto-Adjust Contrast: Using Histogram Equalization

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -10° and +10°
Shear: ±23° Horizontal, ±18° Vertical
Brightness: Between 0% and +30%
Mosaic: Applied
Bounding Box: Rotation: Between -14° and +14°