MantarSegmentation Computer Vision Model
45 Total Images
View All Images
Dataset Split
Train Set 71%
32Images
Valid Set 13%
6Images
Test Set 16%
7Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 432x432
Grayscale: Applied
Auto-Adjust Contrast: Using Adaptive Equalization
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Blur: Up to 2.5px