metadata
language: en
license: mit
tags:
- semantic-segmentation
- pytorch
- deeplabv3plus
- resnet34
- agricultural-cv
model-index:
- name: deeplabv3plus_run_focussedlos_2026-06-24_22-02
results:
- task:
type: semantic-segmentation
name: Corm Segmentation
metrics:
- type: mean_iou
value: 0.9321089108514223
name: Best Val Mean IoU
- type: damage_iou
value: 0.8372844004812895
name: Best Val Damage-Class IoU
- type: corm_iou
value: 0.9612772860862159
name: Best Val Corm-Class IoU
DeepLabV3+ Corm & Damage Semantic Segmentation Model
This repository contains weights, performance curves, and hyperparameter logs for experiment deeplabv3plus_run_focussedlos_2026-06-24_22-02.
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:
640x640 - Loss Optimizer configuration:
Hybrid_Focal_Tversky
Metrics Curves
Below are the training performance plots generated for this run:
