Transformers
Safetensors
PyTorch
English
SegformerForSemanticSegmentation
semantic-segmentation
segformer
agricultural-cv
Eval Results (legacy)
Instructions to use mujerry/corm-fusarium-segformer-b3-finetuned-ade-512-512 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mujerry/corm-fusarium-segformer-b3-finetuned-ade-512-512 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("mujerry/corm-fusarium-segformer-b3-finetuned-ade-512-512", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| language: en | |
| license: mit | |
| tags: | |
| - semantic-segmentation | |
| - pytorch | |
| - transformers | |
| - segformer | |
| - agricultural-cv | |
| model-index: | |
| - name: segformer_run_b3-finetuned-ade-512-512_2026-06-27_06-15 | |
| results: | |
| - task: | |
| type: semantic-segmentation | |
| name: Corm Segmentation | |
| metrics: | |
| - type: mean_iou | |
| value: 0.940162860050675 | |
| name: Best Val Mean IoU | |
| - type: damage_iou | |
| value: 0.8552048758854878 | |
| name: Best Val Damage-Class IoU | |
| - type: corm_iou | |
| value: 0.9671757749162696 | |
| name: Best Val Corm-Class IoU | |
| # Segformer Corm & Damage Segmentation Model | |
| This repository contains weights and comprehensive logs for experiment `segformer_run_b3-finetuned-ade-512-512_2026-06-27_06-15`. | |
| ## Model Summary | |
| - **Architecture Type:** Segformer (`nvidia/segformer-b3-finetuned-ade-512-512`) | |
| - **Input Channels:** RGB | |
| - **Classes:** - Class 0: Background | |
| - Class 1: Damage | |
| - Class 2: Corm | |
| ## Best Metric Deliverables | |
| - **Validation Mean IoU:** `0.940162860050675` | |
| - **Validation Damage IoU:** `0.8552048758854878` | |
| - **Validation Corm IoU:** `0.9671757749162696` | |
| ## Metric Curves | |
| Below are the training performance plots generated for this run: | |
|  |