---
language: en
license: mit
tags:
- semantic-segmentation
- pytorch
- deeplabv3plus
- resnet34
- agricultural-cv
model-index:
- name: deeplabv3plus-512_run_2026-06-27_13-14
  results:
  - task:
      type: semantic-segmentation
      name: Corm Segmentation
    metrics:
    - type: mean_iou
      value: 0.9351399077162409
      name: Best Val Mean IoU
    - type: damage_iou
      value: 0.8431004854440934
      name: Best Val Damage-Class IoU
    - type: corm_iou
      value: 0.9643080229668392
      name: Best Val Corm-Class IoU
---

# DeepLabV3+ Corm & Damage Semantic Segmentation Model

This repository contains weights, performance curves, and hyperparameter logs for experiment `deeplabv3plus-512_run_2026-06-27_13-14`.

## Model Summary
- **Architecture Type:** DeepLabV3+ (SMP wrapper)
- **Backbone Encoder:** `resnet34`
- **Pretrained Weights:** `imagenet`
- **Input Channels:** 3
- **Number of Classes:** 3 (0: background, 1: damage, 2: corm)
- **Training Resolution:** `512x512`
- **Loss Optimizer configuration:** `CrossEntropy`

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