---
language: en
license: mit
tags:
- semantic-segmentation
- pytorch
- unet
- resnet34
- agricultural-cv
model-index:
- name: unet_run_2026-06-23_13-16
  results:
  - task:
      type: semantic-segmentation
      name: Corm Segmentation
    metrics:
    - type: mean_iou
      value: 0.9293187884547999
      name: Best Val Mean IoU
    - type: mean_accuracy
      value: 0.9665135754918103
      name: Best Val Mean Accuracy
---

# UNet Corm & Damage Semantic Segmentation Model

This repository contains the weights, performance logs, and hyperparameters for experiment `unet_run_2026-06-23_13-16`.

## Model Hyperparameters
- **Architecture Type:** UNet (SMP wrapper)
- **Backbone Encoder:** `UNet`
- **Pretrained Weights:** `imagenet`
- **Input Channels:** 3
- **Number of Classes:** 3 (0: background, 1: damage, 2: root)
- **Training Resolution:** `256x256`

## Training Configurations
- **Batch Size:** 8
- **Optimizers / Lr:** AdamW / 0.0001
- **Maximum Epochs:** 200
- **Seed Configuration:** 42

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