MantarSegmentation Computer Vision Model
79 Total Images
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Dataset Split
Train Set 76%
60Images
Valid Set 9%
7Images
Test Set 15%
12Images
Preprocessing
Auto-Orient: Applied
Resize: Fit (black edges) in 432x432
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Exposure: Between -10% and +10%
Noise: Up to 0.16% of pixels