---
language: en
license: mit
tags:
- semantic-segmentation
- pytorch
- deeplabv3plus
- resnet34
- agricultural-cv
model-index:
- name: nematode-deeplabv3plus_512-run_2026-06-28_17-57_sample_50
  results:
  - task:
      type: semantic-segmentation
      name: Corm Segmentation
    metrics:
    - type: mean_iou
      value: 0.8735190836786705
      name: Best Val Mean IoU
    - type: damage_iou
      value: 0.7381499204526462
      name: Best Val Damage-Class IoU
    - type: root_iou
      value: 0.8856007365241481
      name: Best Val Root-Class IoU
---

# DeepLabV3+ Corm & Damage Semantic Segmentation Model (Ablation: 70.0%)

This repository contains weights, performance curves, and hyperparameter logs for experiment `nematode-deeplabv3plus_512-run_2026-06-28_17-57_sample_50`.

## Model Summary
- **Architecture Type:** DeepLabV3+ (SMP wrapper)
- **Backbone Encoder:** `resnet34`
- **Training Resolution:** `512x512`
- **Loss Optimizer configuration:** `CrossEntropy`
- **Dataset Sample Fraction:** `70.0%`

## Metrics Curves
Below are the training performance plots generated for this run:
![Performance Curves](performance_curves.png)