---
language: en
license: mit
tags:
- semantic-segmentation
- pytorch
- transformers
- segformer
- agricultural-cv
model-index:
- name: segformer-b3_run_2026-06-29_00-06_sample_50
  results:
  - task:
      type: semantic-segmentation
      name: Corm Segmentation
    metrics:
    - type: mean_iou
      value: 0.8843405635722065
      name: Best Val Mean IoU
    - type: damage_iou
      value: 0.7566256108147862
      name: Best Val Damage-Class IoU
    - type: root_iou
      value: 0.8987028323778692
      name: Best Val Root-Class IoU
    - type: mean_accuracy
      value: 0.937641067753777
      name: Best Val Mean Accuracy
    - type: damage_accuracy
      value: 0.8839718280719298
      name: Best Val Damage-Class Accuracy
    - type: root_accuracy
      value: 0.9737251750602065
      name: Best Val Root-Class Accuracy
---

# Segformer Corm & Damage Segmentation Model (Ablation: 70.0%)

This repository contains logs for experiment `segformer-b3_run_2026-06-29_00-06_sample_50`.

## Model Summary
- **Architecture Type:** Segformer (`nvidia/segformer-b3-finetuned-ade-512-512`)
- **Train Sample Fraction:** `70.0% - 533/762 images`
- **Val Sample Fraction:** `60.0% - 186/310 images`

## Metric Curves
![Performance Curves](performance_curves.png)