Dataset Versions

v3

2022-11-16 12:06pm

Generated on Nov 16, 2022

Dataset Split

Train Set 90%
72Images
Valid Set %
0Images
Test Set 10%
8Images

Preprocessing

Auto-Orient: Applied
Auto-Adjust Contrast: Using Histogram Equalization
Tile: 2 rows x 2 columns

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Bounding Box: Exposure: Between -25% and +25%