metadata
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:
