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", dtype="auto") - Notebooks
- Google Colab
- Kaggle
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:

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Evaluation results
- Best Val Mean IoUself-reported0.940
- Best Val Damage-Class IoUself-reported0.855
- Best Val Corm-Class IoUself-reported0.967