verticillium-wilt-object-semantic-segmentation

Semantic Segmentation

Dataset Versions

v8

2023-09-08 12:29pm

Generated on Sep 8, 2023

Dataset Split

Train Set 96%
267Images
Valid Set 4%
12Images
Test Set %
0Images

Preprocessing

No preprocessing steps were applied.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Brightness: Between -25% and +25%
Blur: Up to 2.5px
Noise: Up to 5% of pixels
Cutout: 3 boxes with 10% size each