Transformers
Safetensors
PyTorch
English
SegformerForSemanticSegmentation
semantic-segmentation
segformer
agricultural-cv
Eval Results (legacy)
Instructions to use mujerry/nematode-segformer-b3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mujerry/nematode-segformer-b3 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("mujerry/nematode-segformer-b3", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Segformer Corm & Damage Segmentation Model (Ablation: 70.0%)
This repository contains logs for experiment segformer-b3_run_2026-06-29_00-06_sample_50.
Model Summary
- Architecture Type: Segformer (
nvidia/segformer-b3-finetuned-ade-512-512) - Train Sample Fraction:
70.0% - 533/762 images - Val Sample Fraction:
60.0% - 186/310 images
Metric Curves
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Evaluation results
- Best Val Mean IoUself-reported0.884
- Best Val Damage-Class IoUself-reported0.757
- Best Val Root-Class IoUself-reported0.899
- Best Val Mean Accuracyself-reported0.938
- Best Val Damage-Class Accuracyself-reported0.884
- Best Val Root-Class Accuracyself-reported0.974
